{"repo":"bigint/rag.computer","free":true,"listed":false,"github":"https://github.com/bigint/rag.computer","clone":"git clone https://github.com/bigint/rag.computer.git","description":"Self-hostable RAG platform - document ingestion, embedding, and vector search behind a simple REST API","language":"Python","stars":99,"topics":["ai","embeddings","rag","rag-pipeline","vector-database"],"license":"MIT","category":"ai-agents","readme_excerpt":"bigRAG Open-source, self-hostable RAG platform with Turbopuffer-backed search. Upload documents, auto-chunk, embed, and retrieve through semantic, keyword, and hybrid search — all behind one clean REST API. Quick Start · Architecture · API Reference · SDKs · MCP Server · Configuration --- Features - Document ingestion — PDF, DOCX, PPTX, HTML, Markdown, images, and more via Docling - Embedding providers — OpenAI, OpenAI-compatible gateways, Cohere, and Voyage - Embedding presets — save named provider/model configs once, reuse across collections - Turbopuffer search — vectors, chunk text, metadata filters, BM25 keyword search, and hybrid retrieval via Turbopuffer - Namespace isolation — each collection maps to a Turbopuffer namespace for scoped writes, exports, truncation, and deletion - Reranking — Cohere reranking for improved result relevance - Multi-collection queries — search across collections in a single request - Generated chat — stateless backend-grounded playground chat with streaming and citations - Batch operations — bulk upload, delete, status checks, and queries - S3/R2 connector — mirror bucket prefixes with manual or scheduled sync - Status polling — REST endpoints for document and batch processing status - Auth, audit, scopes — admin accounts, session cookies, scoped bigrag sk … API keys, and full audit/access logs - Metadata controls — per-collection metadata schemas, file validation, and content-hash deduplication at ingest - Retrieval evaluation runner — shi","default_branch":null,"files":null,"tree":[],"storefront":"/r/bigint","claimed":false,"request_supported":{"post":"https://gitbuyer.com/r/bigint/rag.computer/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."}