watat83 / document-chat-system
Open-source document chat platform with semantic search, RAG (Retrieval Augmented Generation), and multi-provider AI support (OpenRouter, OpenAI, ImageRouter).
Why this job: says: rag, retrieval augmented, semantic search; topics: rag, embeddings, vector-search
What it does
- 100% Free & Open Source. MIT licensed. Deploy your own instance, modify as needed, or monetize as a SaaS.
- Multi-Provider AI. Supports OpenRouter (100+ models), OpenAI, Anthropic, and ImageRouter. Uses gpt-4o-mini by default for cost-effective responses.
- Full Document Support. PDFs, DOCX, TXT, images with OCR, and more. Automatic text extraction and intelligent processing.
- Optional Docling Integration. Superior document processing with IBM's Docling for enhanced table extraction, layout preservation, and structure understanding. Learn more
- Semantic Search. Vector search with Pinecone or pgvector finds relevant content beyond simple keyword matching.
Get started
./scripts/setup-vercel.sh --all && vercel --prod - Maintenance
- Active
- Last commit 27 days ago
- Stars
- 149
- +1 this week
- Licence
- MIT
- Allows business use
- Downloads for
- None listed
- No release files
- Latest version
- None yet
- No releases
- Built with
- TypeScript
- 88% of the code
Is it looked after?
- Contributors
- 1
- Last 90 days
- Issues
- 100% closed
- 0 still open
- Pull requests
- 2 merged
- 3 waiting
- Releases
- None
- Never published
- Contributing guide (opens in new tab)
- No security policy
- No code of conduct
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More: languages, topics and project record
Languages
- TypeScript 88%
- JavaScript 11%
- PLpgSQL 1%
- Shell <1%
Topics
- chatbot
- document-management
- document-processing
- embeddings
- llms
- rag
- vector-search
- webapp
Project record
- JobRAG and search
- StatusListed
- Commits201
- Forks38
- Watching1
- Stars in 28 days+1
- CreatedOct 1, 2025
- First seen by usNov 7, 2026
- CheckedNov 7, 2026