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RAG Knowledge Assistant
Retrieval-augmented generation chatbot ingesting PDF/DOCX/Markdown, embedding into ChromaDB, answering with citations using LangChain and Claude/OpenAI APIs.
Overview
Enterprise knowledge assistant using retrieval-augmented generation for accurate, citation-backed question answering.
Architecture
- Multi-format document ingestion (PDF, DOCX, Markdown)
- Sentence-transformer embeddings into ChromaDB
- LangChain orchestration with Claude/OpenAI LLMs
- RAGAS evaluation framework for quality metrics
- Streamlit chat interface
Key Features
- Source citation for every answer
- Multi-document cross-referencing
- Configurable chunking strategies
- Quality evaluation with RAGAS metrics