Secure Gateway based GenAI

HCX (Hyper Clova X) & GPT & Anthropic Claude & Gemini Pro Vision Generative AI Application

[Generative AI app]

Scenario: auto review generation, Cloud based Assistant
Secure Gateway: Nginx based Security Headers add & LLM based Prompt Injection module
LLM: HCX, GPT, Anthropic Claude, sLLM (Llama 3.1 8B Instruct), Gemini Pro Vision
Process: RAG, Multimodal RAG
Advanced RAG: Rerank
Embedding: OpenAI, Amazon Titan, NCP, HuggingFace (nomic embed text)
Vector DB: Chroma, FAISS, PGVector, Milvus
Backend: LangChain
Frontend: Nginx based Streamlit
Production & Deployment: LangSmith, RDB (SQLite3)

Name		Name	Last commit message	Last commit date
Latest commit History 513 Commits
.nginx		.nginx
.streamlit		.streamlit
.DS_Store		.DS_Store
.gitignore		.gitignore
LCEL.py		LCEL.py
LICENSE		LICENSE
LLM.py		LLM.py
README.md		README.md
aws_claude_boto3.py		aws_claude_boto3.py
config.py		config.py
delion_auto_review.py		delion_auto_review.py
hcx_token_cal.py		hcx_token_cal.py
langchain_clova_embedding.py		langchain_clova_embedding.py
monitoring_assistant.py		monitoring_assistant.py
multi_llm_assistant.py		multi_llm_assistant.py
ncp_embedding.py		ncp_embedding.py
orca_data_augmentation.py		orca_data_augmentation.py
prompt.py		prompt.py
sllm_assistant.py		sllm_assistant.py
streamlit_custom_func.py		streamlit_custom_func.py
token_debug.py		token_debug.py
token_usage.py		token_usage.py
vector_db.py		vector_db.py
vector_db_func_call.py		vector_db_func_call.py
vector_db_update.py		vector_db_update.py
vqa_assistant.py		vqa_assistant.py

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