AI Rag Agent
Period: May, 2025 - ∞
About this project
- •Developed a Retrieval-Augmented Generation (RAG) AI agent using LangChain to enable efficient querying of legal
- •documents and research papers.
- •Implemented parsing and chunking of PDF and TXT files to optimize document retrieval processes.
- •Utilized in-memory storage solutions to ensure fast access to document chunks during query processing.
- •Implemented query handling and answer generation to deliver accurate, contextually relevant responses based
- •solely on uploaded document content.
Key Features
Technologies Used
PythonLangChainPyPDF2OpenAI