RAG_app

A Retrieval-Augmented Generation (RAG) application built with LangChain that enhances Large Language Model responses with relevant context from your documents. This application combines the power of:

• Document Processing: Efficiently splits and processes your text documents
• Vector Storage: Uses Chroma DB for semantic search and retrieval
• Embeddings: Leverages HuggingFace's sentence-transformers for document embeddings
• Custom LLM Integration: Flexible integration with any LLM API endpoint
• RAG Pipeline: Combines document retrieval with LLM generation for accurate, context-aware responses

Quick Start

To download and run the installation script:

curl -fsSL https://raw.githubusercontent.com/AkkhilCodingHub/RAG_app/refs/heads/main/install_rag.py | python3