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Local RAG System with MCP Server A production-grade Retrieval Augmented Generation (RAG) system with Model Context Protocol (MCP) server integration, built for intelligent document querying and developer knowledge management.
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9
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docs: Comprehensive public-ready README with API docs, troubleshooting, and use cases
19d1271View on GitHubClean: Remove vector store and database files, update .gitignore
45fdb34View on GitHubInitial commit: Local RAG application with documentation and MCP server
75eb0c0View on GitHubdocs: establish code standardization framework (Phase 1)
a6e6713View on GitHubrefactor: Update settings.py to dynamically load .env from project root
8026166View on GitHubfeat: Restructure project with modular backend and improved code organization
8c90558View on GitHubfeat: Create multi-model AI chatbot with FastAPI backend and Streamlit frontend
1097dffView on GitHub