{"repo":"angelafeliciaa/TabulaRAG","free":true,"listed":false,"github":"https://github.com/angelafeliciaa/TabulaRAG","clone":"git clone https://github.com/angelafeliciaa/TabulaRAG.git","description":"Fast-ingesting tabular data MCP RAG tool backed with cell citations","language":"Python","stars":27,"topics":["retrieval-augmented-generation","agent","mcp","rag","llm","openwebui"],"license":"MIT","category":"ai-agents","readme_excerpt":"TabulaRAG A fast-ingesting tabular data MCP RAG tool backed with cell citations. Upload a CSV or TSV, then query it in natural language. Results include cell-level citations so you can trace exactly where each answer came from. We also have multi-role access where admin users can add, delete, edit datasets as well as invite users to their enterprise/organization via invite codes. --- Features - CSV/TSV ingestion — upload tabular files with automatic header detection, delimiter inference, and column type recognition (dates, money, measurements) - Semantic search — each row is embedded via sentence-transformers/all-MiniLM-L6-v2 and indexed in Qdrant for natural-language retrieval with cell-level citations - Structured queries — filter and aggregate data through the API with SQL over PostgreSQL JSON columns - Multi-tenant workspaces — enterprises with invite codes, roles (owner / admin / querier), and switchable active workspace - Folders & access control — public, protected, and private folders with user-group-based permissions - MCP server — exposes Streamable HTTP + SSE endpoints so AI assistants can use your tables as a retrieval tool - Auth — Google OAuth and email/password with verification codes and password reset (via Brevo SMTP) - Background indexing — threaded worker pool for non-blocking embedding and Qdrant upserts with progress tracking --- Architecture Layer Technology ------------ --------------------------------------------------- Frontend React 19, TypeScript 5.","default_branch":null,"files":null,"tree":[],"storefront":"/r/angelafeliciaa","claimed":false,"request_supported":{"post":"https://gitbuyer.com/r/angelafeliciaa/TabulaRAG/request-supported","requests":0},"note":"indexed from public GitHub; nothing is for sale on this page. Clone it from GitHub. Paid listings live at /search."}