RAG Architecture using Gemini API

{"nbformat":4,"nbformat_minor":0,"metadata":{"colab":{"provenance":[],"authorship_tag":"ABX9TyOIuLYzYoPYsFy/psBVtM57"},"kernelspec":{"name":"python3","display_name":"Python 3"},"language_info":{"name":"python"}},"cells":[{"cell_type":"code","execution_count":1,"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"id":"Vl_t7RMfFL0n","executionInfo":{"status":"ok","timestamp":1713022294831,"user_tz":-330,"elapsed":20280,"user":{"displayName":"PRIYAM PAL","userId":"11237166932078787097"}},"outputId":"179530f2-6ebc-4ab0-9ce6-a4788fb39ace"},"outputs":[{"output_type":"stream","name":"stdout","text":["\u001b[?25l     \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m0.0/142.1 kB\u001b[0m \u001b[31m?\u001b[0m eta \u001b[36m-:--:--\u001b[0m\r\u001b[2K     \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m142.1/142.1 kB\u001b[0m \u001b[31m4.6 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n","\u001b[2K     \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m287.5/287.5 kB\u001b[0m \u001b[31m11.6 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n","\u001b[2K     \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m663.6/663.6 kB\u001b[0m \u001b[31m15.7 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n","\u001b[2K     \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m113.0/113.0 kB\u001b[0m \u001b[31m7.9 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n","\u001b[2K     \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m53.0/53.0 kB\u001b[0m \u001b[31m3.3 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n","\u001b[2K     \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m144.8/144.8 kB\u001b[0m \u001b[31m14.1 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n","\u001b[?25h"]}],"source":["%pip install --upgrade --quiet  langchain-google-genai"]},{"cell_type":"code","source":["from langchain_google_genai import GoogleGenerativeAIEmbeddings\n","import pandas as pd\n","from scipy.spatial.distance import cosine\n","import numpy as np\n","from langchain_google_genai import (\n","    ChatGoogleGenerativeAI,\n","    HarmBlockThreshold,\n","    HarmCategory,\n",")\n","\n","embeddings = GoogleGenerativeAIEmbeddings(model=\"models/embedding-001\",google_api_key=\"AIzaSyB3xxrG89xPsJJkyvLSS7xtJiOHsIIPn4o\")\n","\n","\n","llm = ChatGoogleGenerativeAI(model=\"gemini-pro\",temperature=0.3,google_api_key=\"AIzaSyB3xxrG89xPsJJkyvLSS7xtJiOHsIIPn4o\",safety_settings={\n","        HarmCategory.HARM_CATEGORY_DANGEROUS_CONTENT: HarmBlockThreshold.BLOCK_NONE,\n","    },)"],"metadata":{"id":"160BHgv4FVeM","executionInfo":{"status":"ok","timestamp":1713022700238,"user_tz":-330,"elapsed":538,"user":{"displayName":"PRIYAM PAL","userId":"11237166932078787097"}}},"execution_count":4,"outputs":[]},{"cell_type":"code","source":["#breaking into chunks\n","def text_splitter(text, chunk_size=500):\n","    chunks = []\n","    for i in range(0, len(text), chunk_size):\n","        chunks.append(text[i:i+chunk_size])\n","    return chunks\n","\n","# Example usage:\n","input_text = input(\"Enter text: \")\n","chunks = text_splitter(input_text)\n","\n","\n","def generate_embeddings(text):\n","  vector = embeddings.embed_query(text)\n","  return vector\n","\n","\n","df = pd.DataFrame(chunks, columns=[\"text\"])\n","\n","\n","df[\"embedding\"] = df[\"text\"].apply(generate_embeddings)\n","df"],"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":619},"id":"YXa0Ez4aGJUh","executionInfo":{"status":"error","timestamp":1713022716531,"user_tz":-330,"elapsed":5692,"user":{"displayName":"PRIYAM PAL","userId":"11237166932078787097"}},"outputId":"138d0423-52a9-4d76-c5a0-2769cfee0a2c"},"execution_count":5,"outputs":[{"name":"stdout","output_type":"stream","text":["Enter text: The Pixel 8 is available in four colors: Hazel, Mint, Obsidian, and Rose, Pixel 8 display is 6.2 inches (157 millimeters) with a 20:9 aspect ratio and features an OLED panel with a resolution of 1080 x 2400 pixels, resulting in a pixel density of 428 Pixels per Inch. The screen supports a refresh rate ranging from 60Hz to 120Hz and offers a brightness of 1,400 nits for HDR content and up to 2,000 nits for peak brightness, with a contrast ratio greater than 1,000,000:1. It supports 24-bit color depth for 16 million colors and is protected by Corning Gorilla Victus cover glass. Additionally, it features 'Smooth Display' technology and is always-on with features like 'At-a-Glance' and 'Now Playing'. In terms of dimensions, the Pixel 8 measures 150.5mm in height, 170.8mm in width, and 8.9mm in depth, or approximately 5.9 inches in height, 2.8 inches in width, and 0.4 inches in depth. It weighs 187 grams in metric units or 6.6 ounces in imperial units. Powering the Pixel 8 is a 4575 mAh battery (minimum 4495 mAh) that promises 24+ hours of battery life under normal use and up to 72 hours with 'Extreme Battery Saver' mode. The phone supports fast charging, capable of charging up to 50% in just 30 minutes using Google's 30W USB-C Charger, sold separately. It also supports Qi-certified Fast wireless charging and Battery Share functionality. In terms of memory, the Pixel 8 is equipped with 8GB of LPDDR5X RAM and comes with either 128GB or 256GB of UFS 3.1 storage, depending on the variant. While it offers onboard storage, it doesn't support microSD expansion for additional storage but does provide the option to expand storage with Google Drive. The Pixel 8 runs on the Google Tensor G3 processor and features the Titan M2 security coprocessor, providing multi-layer hardware security. It promises 7 years of OS, security, and 'Feature Drop' updates and includes toggles for microphone and camera input devices to enhance security. For authentication, the Pixel 8 offers multiple options including an under-display fingerprint sensor, Face Unlock, pattern, PIN, and password. Photography-wise, the Pixel 8 boasts a dual-camera setup at the rear. The primary camera is a 50MP Octa PD wide camera with a pixel width of 1.2 μm and an aperture of ƒ/1.68. It features an 82° field of view and supports 'Super ResZoom' up to 8x. The secondary camera is a 12MP ultrawide camera with in-built auto-focus, a pixel width of 1.25 μm, and an aperture of ƒ/2.2. It has a 25.8° field of view and supports 'Lens correction'. In terms of security, the Pixel 8 offers encryption for personal data both at rest and in transit, utilizes a secure hardware module called the Titan M chip for protection against data breaches and malware attacks, and provides granular control over app permissions. Additionally, it emphasizes privacy features like Call Screen and Now Playing, and comes with built-in protections against malware through Google Play Protect, Safe Browsing, and anti-phishing mechanisms. The Pixel 8 rear cameras rely on a Single-zone LDAF (laser detect auto-focus) sensor, accompanied by Spectral and flicker sensors, and benefit from Optical + electronic image stabilization. Additionally, the front camera features a Fixed focus with a 10.5MP dual PD selfie camera, boasting a 1.22 μm pixel width, an ƒ/2.2 aperture, and a 95° ultrawide field of view. Pixel 8 introduces the new Ultra HDR image format, ensuring enhanced HDR content with backward compatibility using the .jpeg extension. The device is equipped with Magic Editor, enabling complex edits through AI techniques, including generative AI, for precise adjustments to specific image elements. Best Take, driven by AI models, selects optimal images from a sequence, employing features like Magic Eraser and Cinematic photos from Google Photos. Furthermore, Pixel 8 offers Macro Focus for detailed close-up shots and features like Magic Eraser and Photo Unblur for removing unwanted elements and enhancing blurry images, respectively. Real Tone software improves the representation of diverse skin tones, reflecting a commitment to accuracy in photography. Additional functionalities include Face Unblur, Panorama Mode, manual camera adjustments, Locked Folder for secure storage, and Night Sight with Astrophotography capabilities. Portrait Mode, Top Shot, and Zoom capabilities up to 8x with Super Res Zoom enhance photographic experiences, while video recording features such as Cinematic Blur, Night Sight Video, and High-Resolution Recording extend versatility in capturing moments. Dual Exposure technology enhances video quality in challenging lighting conditions, complemented by HDR+ for automatic color and lighting adjustments in photos.\n"]},{"output_type":"error","ename":"GoogleGenerativeAIError","evalue":"Error embedding content: 400 User location is not supported for the API use.","traceback":["\u001b[0;31m---------------------------------------------------------------------------\u001b[0m","\u001b[0;31m_InactiveRpcError\u001b[0m                         Traceback (most recent call last)","\u001b[0;32m/usr/local/lib/python3.10/dist-packages/google/api_core/grpc_helpers.py\u001b[0m in \u001b[0;36merror_remapped_callable\u001b[0;34m(*args, **kwargs)\u001b[0m\n\u001b[1;32m     71\u001b[0m         \u001b[0;32mtry\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m---> 72\u001b[0;31m             \u001b[0;32mreturn\u001b[0m \u001b[0mcallable_\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m*\u001b[0m\u001b[0margs\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m**\u001b[0m\u001b[0mkwargs\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m     73\u001b[0m         \u001b[0;32mexcept\u001b[0m \u001b[0mgrpc\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mRpcError\u001b[0m \u001b[0;32mas\u001b[0m \u001b[0mexc\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n","\u001b[0;32m/usr/local/lib/python3.10/dist-packages/grpc/_channel.py\u001b[0m in \u001b[0;36m__call__\u001b[0;34m(self, request, timeout, metadata, credentials, wait_for_ready, compression)\u001b[0m\n\u001b[1;32m   1175\u001b[0m         )\n\u001b[0;32m-> 1176\u001b[0;31m         \u001b[0;32mreturn\u001b[0m \u001b[0m_end_unary_response_blocking\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mstate\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mcall\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;32mFalse\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;32mNone\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m   1177\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n","\u001b[0;32m/usr/local/lib/python3.10/dist-packages/grpc/_channel.py\u001b[0m in \u001b[0;36m_end_unary_response_blocking\u001b[0;34m(state, call, with_call, deadline)\u001b[0m\n\u001b[1;32m   1004\u001b[0m     \u001b[0;32melse\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m-> 1005\u001b[0;31m         \u001b[0;32mraise\u001b[0m \u001b[0m_InactiveRpcError\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mstate\u001b[0m\u001b[0;34m)\u001b[0m  \u001b[0;31m# pytype: disable=not-instantiable\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m   1006\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n","\u001b[0;31m_InactiveRpcError\u001b[0m: <_InactiveRpcError of RPC that terminated with:\n\tstatus = StatusCode.FAILED_PRECONDITION\n\tdetails = \"User location is not supported for the API use.\"\n\tdebug_error_string = \"UNKNOWN:Error received from peer ipv4:142.250.145.95:443 {grpc_message:\"User location is not supported for the API use.\", grpc_status:9, created_time:\"2024-04-13T15:38:34.28559532+00:00\"}\"\n>","\nThe above exception was the direct cause of the following exception:\n","\u001b[0;31mFailedPrecondition\u001b[0m                        Traceback (most recent call last)","\u001b[0;32m/usr/local/lib/python3.10/dist-packages/langchain_google_genai/embeddings.py\u001b[0m in \u001b[0;36m_embed\u001b[0;34m(self, texts, task_type, title)\u001b[0m\n\u001b[1;32m     92\u001b[0m         \u001b[0;32mtry\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m---> 93\u001b[0;31m             result = genai.embed_content(\n\u001b[0m\u001b[1;32m     94\u001b[0m                 \u001b[0mmodel\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mmodel\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n","\u001b[0;32m/usr/local/lib/python3.10/dist-packages/google/generativeai/embedding.py\u001b[0m in \u001b[0;36membed_content\u001b[0;34m(model, content, task_type, title, client, request_options)\u001b[0m\n\u001b[1;32m    170\u001b[0m             \u001b[0membedding_request\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mglm\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mBatchEmbedContentsRequest\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mmodel\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0mmodel\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mrequests\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0mbatch\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 171\u001b[0;31m             embedding_response = client.batch_embed_contents(\n\u001b[0m\u001b[1;32m    172\u001b[0m                 \u001b[0membedding_request\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n","\u001b[0;32m/usr/local/lib/python3.10/dist-packages/google/ai/generativelanguage_v1beta/services/generative_service/client.py\u001b[0m in \u001b[0;36mbatch_embed_contents\u001b[0;34m(self, request, model, requests, retry, timeout, metadata)\u001b[0m\n\u001b[1;32m   1336\u001b[0m         \u001b[0;31m# Send the request.\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m-> 1337\u001b[0;31m         response = rpc(\n\u001b[0m\u001b[1;32m   1338\u001b[0m             \u001b[0mrequest\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n","\u001b[0;32m/usr/local/lib/python3.10/dist-packages/google/api_core/gapic_v1/method.py\u001b[0m in \u001b[0;36m__call__\u001b[0;34m(self, timeout, retry, *args, **kwargs)\u001b[0m\n\u001b[1;32m    112\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 113\u001b[0;31m         \u001b[0;32mreturn\u001b[0m \u001b[0mwrapped_func\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m*\u001b[0m\u001b[0margs\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m**\u001b[0m\u001b[0mkwargs\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m    114\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n","\u001b[0;32m/usr/local/lib/python3.10/dist-packages/google/api_core/retry.py\u001b[0m in \u001b[0;36mretry_wrapped_func\u001b[0;34m(*args, **kwargs)\u001b[0m\n\u001b[1;32m    348\u001b[0m             )\n\u001b[0;32m--> 349\u001b[0;31m             return retry_target(\n\u001b[0m\u001b[1;32m    350\u001b[0m                 \u001b[0mtarget\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n","\u001b[0;32m/usr/local/lib/python3.10/dist-packages/google/api_core/retry.py\u001b[0m in \u001b[0;36mretry_target\u001b[0;34m(target, predicate, sleep_generator, timeout, on_error, **kwargs)\u001b[0m\n\u001b[1;32m    190\u001b[0m         \u001b[0;32mtry\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 191\u001b[0;31m             \u001b[0;32mreturn\u001b[0m \u001b[0mtarget\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m    192\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n","\u001b[0;32m/usr/local/lib/python3.10/dist-packages/google/api_core/timeout.py\u001b[0m in \u001b[0;36mfunc_with_timeout\u001b[0;34m(*args, **kwargs)\u001b[0m\n\u001b[1;32m    119\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 120\u001b[0;31m             \u001b[0;32mreturn\u001b[0m \u001b[0mfunc\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m*\u001b[0m\u001b[0margs\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m**\u001b[0m\u001b[0mkwargs\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m    121\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n","\u001b[0;32m/usr/local/lib/python3.10/dist-packages/google/api_core/grpc_helpers.py\u001b[0m in \u001b[0;36merror_remapped_callable\u001b[0;34m(*args, **kwargs)\u001b[0m\n\u001b[1;32m     73\u001b[0m         \u001b[0;32mexcept\u001b[0m \u001b[0mgrpc\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mRpcError\u001b[0m \u001b[0;32mas\u001b[0m \u001b[0mexc\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m---> 74\u001b[0;31m             \u001b[0;32mraise\u001b[0m \u001b[0mexceptions\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mfrom_grpc_error\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mexc\u001b[0m\u001b[0;34m)\u001b[0m \u001b[0;32mfrom\u001b[0m \u001b[0mexc\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m     75\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n","\u001b[0;31mFailedPrecondition\u001b[0m: 400 User location is not supported for the API use.","\nThe above exception was the direct cause of the following exception:\n","\u001b[0;31mGoogleGenerativeAIError\u001b[0m                   Traceback (most recent call last)","\u001b[0;32m<ipython-input-5-668e92fb3e98>\u001b[0m in \u001b[0;36m<cell line: 21>\u001b[0;34m()\u001b[0m\n\u001b[1;32m     19\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m     20\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m---> 21\u001b[0;31m \u001b[0mdf\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0;34m\"embedding\"\u001b[0m\u001b[0;34m]\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mdf\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0;34m\"text\"\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mapply\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mgenerate_embeddings\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m     22\u001b[0m \u001b[0mdf\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n","\u001b[0;32m/usr/local/lib/python3.10/dist-packages/pandas/core/series.py\u001b[0m in \u001b[0;36mapply\u001b[0;34m(self, func, convert_dtype, args, **kwargs)\u001b[0m\n\u001b[1;32m   4628\u001b[0m         \u001b[0mdtype\u001b[0m\u001b[0;34m:\u001b[0m \u001b[0mfloat64\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m   4629\u001b[0m         \"\"\"\n\u001b[0;32m-> 4630\u001b[0;31m         \u001b[0;32mreturn\u001b[0m \u001b[0mSeriesApply\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mself\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mfunc\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mconvert_dtype\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0margs\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mkwargs\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mapply\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m   4631\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m   4632\u001b[0m     def _reduce(\n","\u001b[0;32m/usr/local/lib/python3.10/dist-packages/pandas/core/apply.py\u001b[0m in \u001b[0;36mapply\u001b[0;34m(self)\u001b[0m\n\u001b[1;32m   1023\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m   1024\u001b[0m         \u001b[0;31m# self.f is Callable\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m-> 1025\u001b[0;31m         \u001b[0;32mreturn\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mapply_standard\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m   1026\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m   1027\u001b[0m     \u001b[0;32mdef\u001b[0m \u001b[0magg\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mself\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n","\u001b[0;32m/usr/local/lib/python3.10/dist-packages/pandas/core/apply.py\u001b[0m in \u001b[0;36mapply_standard\u001b[0;34m(self)\u001b[0m\n\u001b[1;32m   1074\u001b[0m             \u001b[0;32melse\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m   1075\u001b[0m                 \u001b[0mvalues\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mobj\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mastype\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mobject\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_values\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m-> 1076\u001b[0;31m                 mapped = lib.map_infer(\n\u001b[0m\u001b[1;32m   1077\u001b[0m                     \u001b[0mvalues\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m   1078\u001b[0m                     \u001b[0mf\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n","\u001b[0;32m/usr/local/lib/python3.10/dist-packages/pandas/_libs/lib.pyx\u001b[0m in \u001b[0;36mpandas._libs.lib.map_infer\u001b[0;34m()\u001b[0m\n","\u001b[0;32m<ipython-input-5-668e92fb3e98>\u001b[0m in \u001b[0;36mgenerate_embeddings\u001b[0;34m(text)\u001b[0m\n\u001b[1;32m     12\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m     13\u001b[0m \u001b[0;32mdef\u001b[0m \u001b[0mgenerate_embeddings\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mtext\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m---> 14\u001b[0;31m   \u001b[0mvector\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0membeddings\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0membed_query\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mtext\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m     15\u001b[0m   \u001b[0;32mreturn\u001b[0m \u001b[0mvector\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m     16\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n","\u001b[0;32m/usr/local/lib/python3.10/dist-packages/langchain_google_genai/embeddings.py\u001b[0m in \u001b[0;36membed_query\u001b[0;34m(self, text)\u001b[0m\n\u001b[1;32m    127\u001b[0m         \"\"\"\n\u001b[1;32m    128\u001b[0m         \u001b[0mtask_type\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mtask_type\u001b[0m \u001b[0;32mor\u001b[0m \u001b[0;34m\"retrieval_query\"\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 129\u001b[0;31m         \u001b[0;32mreturn\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_embed\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0mtext\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mtask_type\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0mtask_type\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0;36m0\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m","\u001b[0;32m/usr/local/lib/python3.10/dist-packages/langchain_google_genai/embeddings.py\u001b[0m in \u001b[0;36m_embed\u001b[0;34m(self, texts, task_type, title)\u001b[0m\n\u001b[1;32m     98\u001b[0m             )\n\u001b[1;32m     99\u001b[0m         \u001b[0;32mexcept\u001b[0m \u001b[0mException\u001b[0m \u001b[0;32mas\u001b[0m \u001b[0me\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 100\u001b[0;31m             \u001b[0;32mraise\u001b[0m \u001b[0mGoogleGenerativeAIError\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34mf\"Error embedding content: {e}\"\u001b[0m\u001b[0;34m)\u001b[0m \u001b[0;32mfrom\u001b[0m \u001b[0me\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m    101\u001b[0m         \u001b[0;32mreturn\u001b[0m \u001b[0mresult\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0;34m\"embedding\"\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    102\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n","\u001b[0;31mGoogleGenerativeAIError\u001b[0m: Error embedding content: 400 User location is not supported for the API use."]}]},{"cell_type":"code","source":["def find_similar_context(df, query_vector, k=3):\n","  # Ensure consistent data types (convert query_vector to numpy array)\n","  query_vector = np.array(query_vector)\n","\n","  # Calculating cosine similarities\n","  similarities = df['embedding'].apply(lambda x: 1 - cosine(query_vector, x))\n","\n","  # Sort DataFrame by similarity (descending) and select top 3 rows\n","  df_sorted = df.iloc[similarities.sort_values(ascending=False).head(k).index]\n","\n","  # Concatenate the k most similar texts\n","  context = \" \".join(df_sorted['text'].tolist())\n","\n","  return context\n","\n","\n","query = input(\"Enter query: \")\n","q_vector = embeddings.embed_query(query)\n","\n","context = find_similar_context(df,q_vector)\n","\n","\n","#You can even modify this prompt if any safety limits exceed.\n","prompt = f''' This is the query: {query}\n","Here is some context: {context}\n","\n","Please generate a simple answer for the query from the given context.\n","'''\n","\n","result = llm.invoke(prompt)\n","print(result.content)"],"metadata":{"id":"MgR23OxmG0WP"},"execution_count":null,"outputs":[]},{"cell_type":"code","source":["from langchain_google_genai import (\n","    ChatGoogleGenerativeAI,\n","    HarmBlockThreshold,\n","    HarmCategory,\n",")"],"metadata":{"id":"2neP5cKYHpxE","executionInfo":{"status":"ok","timestamp":1713022901497,"user_tz":-330,"elapsed":540,"user":{"displayName":"PRIYAM PAL","userId":"11237166932078787097"}}},"execution_count":6,"outputs":[]},{"cell_type":"code","source":["llm = ChatGoogleGenerativeAI(model=\"gemini-pro\",temperature=0.3,google_api_key=\"AIzaSyB3xxrG89xPsJJkyvLSS7xtJiOHsIIPn4o\",safety_settings={\n","        HarmCategory.HARM_CATEGORY_DANGEROUS_CONTENT: HarmBlockThreshold.BLOCK_NONE,\n","    },)"],"metadata":{"id":"7GL0iYJJHpu2","executionInfo":{"status":"ok","timestamp":1713022926223,"user_tz":-330,"elapsed":505,"user":{"displayName":"PRIYAM PAL","userId":"11237166932078787097"}}},"execution_count":7,"outputs":[]},{"cell_type":"code","source":["prompt = '''\n","tuilip:flower\n","rose: flower\n","apple:fruit\n","watermelon:fruit\n","\n","\n","sunflower: ________?\n","'''\n","\n","result = llm.invoke(prompt)\n","print(result.content)"],"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":582},"id":"O1fVLSHTHppH","executionInfo":{"status":"error","timestamp":1713022929344,"user_tz":-330,"elapsed":1351,"user":{"displayName":"PRIYAM PAL","userId":"11237166932078787097"}},"outputId":"f80a5087-6787-4f33-879d-65090795ed79"},"execution_count":8,"outputs":[{"output_type":"error","ename":"ValueError","evalue":"Your location is not supported by google-generativeai at the moment. Try to use ChatVertexAI LLM from langchain_google_vertexai.","traceback":["\u001b[0;31m---------------------------------------------------------------------------\u001b[0m","\u001b[0;31m_InactiveRpcError\u001b[0m                         Traceback (most recent call last)","\u001b[0;32m/usr/local/lib/python3.10/dist-packages/google/api_core/grpc_helpers.py\u001b[0m in \u001b[0;36merror_remapped_callable\u001b[0;34m(*args, **kwargs)\u001b[0m\n\u001b[1;32m     71\u001b[0m         \u001b[0;32mtry\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m---> 72\u001b[0;31m             \u001b[0;32mreturn\u001b[0m \u001b[0mcallable_\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m*\u001b[0m\u001b[0margs\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m**\u001b[0m\u001b[0mkwargs\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m     73\u001b[0m         \u001b[0;32mexcept\u001b[0m \u001b[0mgrpc\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mRpcError\u001b[0m \u001b[0;32mas\u001b[0m \u001b[0mexc\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n","\u001b[0;32m/usr/local/lib/python3.10/dist-packages/grpc/_channel.py\u001b[0m in \u001b[0;36m__call__\u001b[0;34m(self, request, timeout, metadata, credentials, wait_for_ready, compression)\u001b[0m\n\u001b[1;32m   1175\u001b[0m         )\n\u001b[0;32m-> 1176\u001b[0;31m         \u001b[0;32mreturn\u001b[0m \u001b[0m_end_unary_response_blocking\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mstate\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mcall\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;32mFalse\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;32mNone\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m   1177\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n","\u001b[0;32m/usr/local/lib/python3.10/dist-packages/grpc/_channel.py\u001b[0m in \u001b[0;36m_end_unary_response_blocking\u001b[0;34m(state, call, with_call, deadline)\u001b[0m\n\u001b[1;32m   1004\u001b[0m     \u001b[0;32melse\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m-> 1005\u001b[0;31m         \u001b[0;32mraise\u001b[0m \u001b[0m_InactiveRpcError\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mstate\u001b[0m\u001b[0;34m)\u001b[0m  \u001b[0;31m# pytype: disable=not-instantiable\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m   1006\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n","\u001b[0;31m_InactiveRpcError\u001b[0m: <_InactiveRpcError of RPC that terminated with:\n\tstatus = StatusCode.FAILED_PRECONDITION\n\tdetails = \"User location is not supported for the API use.\"\n\tdebug_error_string = \"UNKNOWN:Error received from peer ipv4:74.125.128.95:443 {created_time:\"2024-04-13T15:42:07.021132035+00:00\", grpc_status:9, grpc_message:\"User location is not supported for the API use.\"}\"\n>","\nThe above exception was the direct cause of the following exception:\n","\u001b[0;31mFailedPrecondition\u001b[0m                        Traceback (most recent call last)","\u001b[0;32m/usr/local/lib/python3.10/dist-packages/langchain_google_genai/chat_models.py\u001b[0m in \u001b[0;36m_chat_with_retry\u001b[0;34m(**kwargs)\u001b[0m\n\u001b[1;32m    134\u001b[0m         \u001b[0;32mtry\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 135\u001b[0;31m             \u001b[0;32mreturn\u001b[0m \u001b[0mgeneration_method\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m**\u001b[0m\u001b[0mkwargs\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m    136\u001b[0m         \u001b[0;31m# Do not retry for these errors.\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n","\u001b[0;32m/usr/local/lib/python3.10/dist-packages/google/generativeai/generative_models.py\u001b[0m in \u001b[0;36msend_message\u001b[0;34m(self, content, generation_config, safety_settings, stream, tools, tool_config)\u001b[0m\n\u001b[1;32m    473\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 474\u001b[0;31m         response = self.model.generate_content(\n\u001b[0m\u001b[1;32m    475\u001b[0m             \u001b[0mcontents\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0mhistory\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n","\u001b[0;32m/usr/local/lib/python3.10/dist-packages/google/generativeai/generative_models.py\u001b[0m in \u001b[0;36mgenerate_content\u001b[0;34m(self, contents, generation_config, safety_settings, stream, tools, tool_config, request_options)\u001b[0m\n\u001b[1;32m    261\u001b[0m             \u001b[0;32melse\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 262\u001b[0;31m                 response = self._client.generate_content(\n\u001b[0m\u001b[1;32m    263\u001b[0m                     \u001b[0mrequest\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n","\u001b[0;32m/usr/local/lib/python3.10/dist-packages/google/ai/generativelanguage_v1beta/services/generative_service/client.py\u001b[0m in \u001b[0;36mgenerate_content\u001b[0;34m(self, request, model, contents, retry, timeout, metadata)\u001b[0m\n\u001b[1;32m    790\u001b[0m         \u001b[0;31m# Send the request.\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 791\u001b[0;31m         response = rpc(\n\u001b[0m\u001b[1;32m    792\u001b[0m             \u001b[0mrequest\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n","\u001b[0;32m/usr/local/lib/python3.10/dist-packages/google/api_core/gapic_v1/method.py\u001b[0m in \u001b[0;36m__call__\u001b[0;34m(self, timeout, retry, *args, **kwargs)\u001b[0m\n\u001b[1;32m    112\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 113\u001b[0;31m         \u001b[0;32mreturn\u001b[0m \u001b[0mwrapped_func\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m*\u001b[0m\u001b[0margs\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m**\u001b[0m\u001b[0mkwargs\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m    114\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n","\u001b[0;32m/usr/local/lib/python3.10/dist-packages/google/api_core/retry.py\u001b[0m in \u001b[0;36mretry_wrapped_func\u001b[0;34m(*args, **kwargs)\u001b[0m\n\u001b[1;32m    348\u001b[0m             )\n\u001b[0;32m--> 349\u001b[0;31m             return retry_target(\n\u001b[0m\u001b[1;32m    350\u001b[0m                 \u001b[0mtarget\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n","\u001b[0;32m/usr/local/lib/python3.10/dist-packages/google/api_core/retry.py\u001b[0m in \u001b[0;36mretry_target\u001b[0;34m(target, predicate, sleep_generator, timeout, on_error, **kwargs)\u001b[0m\n\u001b[1;32m    190\u001b[0m         \u001b[0;32mtry\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 191\u001b[0;31m             \u001b[0;32mreturn\u001b[0m \u001b[0mtarget\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m    192\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n","\u001b[0;32m/usr/local/lib/python3.10/dist-packages/google/api_core/timeout.py\u001b[0m in \u001b[0;36mfunc_with_timeout\u001b[0;34m(*args, **kwargs)\u001b[0m\n\u001b[1;32m    119\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 120\u001b[0;31m             \u001b[0;32mreturn\u001b[0m \u001b[0mfunc\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m*\u001b[0m\u001b[0margs\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m**\u001b[0m\u001b[0mkwargs\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m    121\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n","\u001b[0;32m/usr/local/lib/python3.10/dist-packages/google/api_core/grpc_helpers.py\u001b[0m in \u001b[0;36merror_remapped_callable\u001b[0;34m(*args, **kwargs)\u001b[0m\n\u001b[1;32m     73\u001b[0m         \u001b[0;32mexcept\u001b[0m \u001b[0mgrpc\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mRpcError\u001b[0m \u001b[0;32mas\u001b[0m \u001b[0mexc\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m---> 74\u001b[0;31m             \u001b[0;32mraise\u001b[0m \u001b[0mexceptions\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mfrom_grpc_error\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mexc\u001b[0m\u001b[0;34m)\u001b[0m \u001b[0;32mfrom\u001b[0m \u001b[0mexc\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m     75\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n","\u001b[0;31mFailedPrecondition\u001b[0m: 400 User location is not supported for the API use.","\nDuring handling of the above exception, another exception occurred:\n","\u001b[0;31mValueError\u001b[0m                                Traceback (most recent call last)","\u001b[0;32m<ipython-input-8-99d88d6df818>\u001b[0m in \u001b[0;36m<cell line: 11>\u001b[0;34m()\u001b[0m\n\u001b[1;32m      9\u001b[0m '''\n\u001b[1;32m     10\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m---> 11\u001b[0;31m \u001b[0mresult\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mllm\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0minvoke\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mprompt\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m     12\u001b[0m \u001b[0mprint\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mresult\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mcontent\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n","\u001b[0;32m/usr/local/lib/python3.10/dist-packages/langchain_core/language_models/chat_models.py\u001b[0m in \u001b[0;36minvoke\u001b[0;34m(self, input, config, stop, **kwargs)\u001b[0m\n\u001b[1;32m    152\u001b[0m         return cast(\n\u001b[1;32m    153\u001b[0m             \u001b[0mChatGeneration\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 154\u001b[0;31m             self.generate_prompt(\n\u001b[0m\u001b[1;32m    155\u001b[0m                 \u001b[0;34m[\u001b[0m\u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_convert_input\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0minput\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    156\u001b[0m                 \u001b[0mstop\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0mstop\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n","\u001b[0;32m/usr/local/lib/python3.10/dist-packages/langchain_core/language_models/chat_models.py\u001b[0m in \u001b[0;36mgenerate_prompt\u001b[0;34m(self, prompts, stop, callbacks, **kwargs)\u001b[0m\n\u001b[1;32m    554\u001b[0m     ) -> LLMResult:\n\u001b[1;32m    555\u001b[0m         \u001b[0mprompt_messages\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0;34m[\u001b[0m\u001b[0mp\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mto_messages\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m \u001b[0;32mfor\u001b[0m \u001b[0mp\u001b[0m \u001b[0;32min\u001b[0m \u001b[0mprompts\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 556\u001b[0;31m         \u001b[0;32mreturn\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mgenerate\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mprompt_messages\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mstop\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0mstop\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mcallbacks\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0mcallbacks\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m**\u001b[0m\u001b[0mkwargs\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m    557\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    558\u001b[0m     async def agenerate_prompt(\n","\u001b[0;32m/usr/local/lib/python3.10/dist-packages/langchain_core/language_models/chat_models.py\u001b[0m in \u001b[0;36mgenerate\u001b[0;34m(self, messages, stop, callbacks, tags, metadata, run_name, run_id, **kwargs)\u001b[0m\n\u001b[1;32m    415\u001b[0m                 \u001b[0;32mif\u001b[0m \u001b[0mrun_managers\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    416\u001b[0m                     \u001b[0mrun_managers\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0mi\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mon_llm_error\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0me\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mresponse\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0mLLMResult\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mgenerations\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 417\u001b[0;31m                 \u001b[0;32mraise\u001b[0m \u001b[0me\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m    418\u001b[0m         flattened_outputs = [\n\u001b[1;32m    419\u001b[0m             \u001b[0mLLMResult\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mgenerations\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0mres\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mgenerations\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mllm_output\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0mres\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mllm_output\u001b[0m\u001b[0;34m)\u001b[0m  \u001b[0;31m# type: ignore[list-item]\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n","\u001b[0;32m/usr/local/lib/python3.10/dist-packages/langchain_core/language_models/chat_models.py\u001b[0m in \u001b[0;36mgenerate\u001b[0;34m(self, messages, stop, callbacks, tags, metadata, run_name, run_id, **kwargs)\u001b[0m\n\u001b[1;32m    405\u001b[0m             \u001b[0;32mtry\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    406\u001b[0m                 results.append(\n\u001b[0;32m--> 407\u001b[0;31m                     self._generate_with_cache(\n\u001b[0m\u001b[1;32m    408\u001b[0m                         \u001b[0mm\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    409\u001b[0m                         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\u001b[0mretry_state\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mset_exception\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0msys\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mexc_info\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m)\u001b[0m  \u001b[0;31m# type: ignore[arg-type]\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n","\u001b[0;32m/usr/local/lib/python3.10/dist-packages/langchain_google_genai/chat_models.py\u001b[0m in \u001b[0;36m_chat_with_retry\u001b[0;34m(**kwargs)\u001b[0m\n\u001b[1;32m    142\u001b[0m                     \u001b[0;34m\"langchain_google_vertexai.\"\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    143\u001b[0m                 )\n\u001b[0;32m--> 144\u001b[0;31m                 \u001b[0;32mraise\u001b[0m \u001b[0mValueError\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0merror_msg\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m    145\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    146\u001b[0m         \u001b[0;32mexcept\u001b[0m \u001b[0mgoogle\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mapi_core\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mexceptions\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mInvalidArgument\u001b[0m \u001b[0;32mas\u001b[0m \u001b[0me\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n","\u001b[0;31mValueError\u001b[0m: Your location is not supported by google-generativeai at the moment. Try to use ChatVertexAI LLM from langchain_google_vertexai."]}]},{"cell_type":"code","source":[],"metadata":{"id":"y1DWTostH3_n"},"execution_count":null,"outputs":[]}]}