Merge branch 'master' into docs-integrations-missed-references-fix-21

docs/docs/integrations/platforms/google.mdx

@@ -72,27 +72,27 @@ See a [usage example](/docs/integrations/chat/google_vertex_ai_palm).
 from langchain_google_vertexai import ChatVertexAI
 ```
 
-### Chat Anthropic on Vertex AI Model Garden
+### Anthropic on Vertex AI Model Garden
 
 See a [usage example](/docs/integrations/llms/google_vertex_ai_palm).
 
 ```python
 from langchain_google_vertexai.model_garden import ChatAnthropicVertex
 ```
 
-### Chat Llama on Vertex AI Model Garden
+### Llama on Vertex AI Model Garden
 
 ```python
 from langchain_google_vertexai.model_garden_maas.llama import VertexModelGardenLlama
 ```
 
-### Chat Mistral on Vertex AI Model Garden
+### Mistral on Vertex AI Model Garden
 
 ```python
 from langchain_google_vertexai.model_garden_maas.mistral import VertexModelGardenMistral
 ```
 
-### Chat Gemma local from Hugging Face
+### Gemma local from Hugging Face
 
 >Local `Gemma` model loaded from `HuggingFace`.
 
@@ -106,7 +106,7 @@ pip install langchain-google-vertexai
 from langchain_google_vertexai.gemma import GemmaChatLocalHF
 ```
 
-### Chat Gemma local from Kaggle
+### Gemma local from Kaggle
 
 >Local `Gemma` model loaded from `Kaggle`.
 
@@ -120,7 +120,7 @@ pip install langchain-google-vertexai
 from langchain_google_vertexai.gemma import GemmaChatLocalKaggle
 ```
 
-### Chat Gemma on Vertex AI Model Garden
+### Gemma on Vertex AI Model Garden
 
 We need to install `langchain-google-vertexai` python package.
 
@@ -132,7 +132,7 @@ pip install langchain-google-vertexai
 from langchain_google_vertexai.gemma import GemmaChatVertexAIModelGarden
 ```
 
-### Vertex AI image captioning chat
+### Vertex AI image captioning
 
 >Implementation of the `Image Captioning model` as a chat.
 
@@ -146,7 +146,7 @@ pip install langchain-google-vertexai
 from langchain_google_vertexai.vision_models import VertexAIImageCaptioningChat
 ```
 
-### Vertex AI image editor chat
+### Vertex AI image editor
 
 >Given an image and a prompt, edit the image. Currently only supports mask-free editing.
 
@@ -160,7 +160,7 @@ pip install langchain-google-vertexai
 from langchain_google_vertexai.vision_models import VertexAIImageEditorChat
 ```
 
-### Vertex AI image generator chat
+### Vertex AI image generator
 
 >Generates an image from a prompt.
 
@@ -174,7 +174,7 @@ pip install langchain-google-vertexai
 from langchain_google_vertexai.vision_models import VertexAIImageGeneratorChat
 ```
 
-### Vertex AI visual QnA chat
+### Vertex AI visual QnA
 
 >Chat implementation of a visual QnA model
 

libs/community/langchain_community/chat_models/databricks.py

@@ -1,11 +1,18 @@
 import logging
 from urllib.parse import urlparse
 
+from langchain_core._api import deprecated
+
 from langchain_community.chat_models.mlflow import ChatMlflow
 
 logger = logging.getLogger(__name__)
 
 
+@deprecated(
+    since="0.3.3",
+    removal="1.0",
+    alternative_import="langchain_databricks.ChatDatabricks",
+)
 class ChatDatabricks(ChatMlflow):
     """`Databricks` chat models API.
 

libs/community/langchain_community/document_loaders/oracleadb_loader.py

@@ -100,7 +100,13 @@ def _run_query(self) -> List[Dict[str, Any]]:
             cursor.execute(self.query)
             columns = [col[0] for col in cursor.description]
             data = cursor.fetchall()
-            data = [dict(zip(columns, row)) for row in data]
+            data = [
+                {
+                    i: (j if not isinstance(j, oracledb.LOB) else j.read())
+                    for i, j in zip(columns, row)
+                }
+                for row in data
+            ]
         except oracledb.DatabaseError as e:
             print("Got error while connecting: " + str(e))  # noqa: T201
             data = []

libs/community/langchain_community/embeddings/databricks.py

@@ -3,6 +3,8 @@
 from typing import Iterator, List
 from urllib.parse import urlparse
 
+from langchain_core._api import deprecated
+
 from langchain_community.embeddings.mlflow import MlflowEmbeddings
 
 
@@ -11,6 +13,11 @@ def _chunk(texts: List[str], size: int) -> Iterator[List[str]]:
         yield texts[i : i + size]
 
 
+@deprecated(
+    since="0.3.3",
+    removal="1.0",
+    alternative_import="langchain_databricks.DatabricksEmbeddings",
+)
 class DatabricksEmbeddings(MlflowEmbeddings):
     """Databricks embeddings.
 

libs/community/langchain_community/llms/databricks.py

@@ -5,6 +5,7 @@
 from typing import Any, Callable, Dict, List, Mapping, Optional
 
 import requests
+from langchain_core._api import deprecated
 from langchain_core.callbacks import CallbackManagerForLLMRun
 from langchain_core.language_models import LLM
 from pydantic import (
@@ -262,6 +263,11 @@ def _pickle_fn_to_hex_string(fn: Callable) -> str:
         raise ValueError(f"Failed to pickle the function: {e}")
 
 
+@deprecated(
+    since="0.3.3",
+    removal="1.0",
+    alternative_import="langchain_databricks.ChatDatabricks",
+)
 class Databricks(LLM):
     """Databricks serving endpoint or a cluster driver proxy app for LLM.
 

libs/community/langchain_community/llms/vllm.py

@@ -123,14 +123,19 @@ def _generate(
         **kwargs: Any,
     ) -> LLMResult:
         """Run the LLM on the given prompt and input."""
-
         from vllm import SamplingParams
 
         # build sampling parameters
         params = {**self._default_params, **kwargs, "stop": stop}
-        sampling_params = SamplingParams(**params)
+
+        # filter params for SamplingParams
+        known_keys = SamplingParams.__annotations__.keys()
+        sample_params = SamplingParams(
+            **{k: v for k, v in params.items() if k in known_keys}
+        )
+
         # call the model
-        outputs = self.client.generate(prompts, sampling_params)
+        outputs = self.client.generate(prompts, sample_params)
 
         generations = []
         for output in outputs:

libs/community/langchain_community/vectorstores/databricks_vector_search.py

@@ -16,7 +16,7 @@
 )
 
 import numpy as np
-from langchain_core._api import warn_deprecated
+from langchain_core._api import deprecated, warn_deprecated
 from langchain_core.documents import Document
 from langchain_core.embeddings import Embeddings
 from langchain_core.vectorstores import VST, VectorStore
@@ -29,6 +29,11 @@
 logger = logging.getLogger(__name__)
 
 
+@deprecated(
+    since="0.3.3",
+    removal="1.0",
+    alternative_import="langchain_databricks.DatabricksVectorSearch",
+)
 class DatabricksVectorSearch(VectorStore):
     """`Databricks Vector Search` vector store.