{"repo":"JulioPeixoto/softrag","free":true,"listed":false,"github":"https://github.com/JulioPeixoto/softrag","clone":"git clone https://github.com/JulioPeixoto/softrag.git","description":"Minimal local-first multimodal RAG library powered by SQLite + sqlite-vec.","language":"Python","stars":20,"topics":["generative-ai","llm","open-source","rag","retrieval-augmented-generation","sql","sqlite3","vector-database","agent","chatgpt"],"license":"MIT","category":"ai-agents","readme_excerpt":"softrag Minimal local-first multimodal Retrieval-Augmented Generation (RAG) library powered by SQLite + sqlite-vec . Everything—documents, embeddings, cache—lives in a single .db file. created by Julio Peixoto. --- 🌟 Features - Local-first – All processing happens locally, no external services required for storage - SQLite + sqlite-vec – Documents, embeddings, and cache in a single .db file - Model-agnostic – Works with OpenAI, Hugging Face, Ollama, or any compatible models - Blazing-fast – Optimized for minimal overhead and maximum throughput - Multi-format support – PDF, DOCX, Markdown, text files, web pages, and images - Image understanding – Uses GPT-4 Vision to analyze and describe images for semantic search - Hybrid retrieval – Combines keyword search (FTS5) and semantic similarity - Unified search – Query across text documents and image descriptions seamlessly 🚀 Quick Start 📚 Documentation For complete documentation, examples, and advanced usage, see: docs/softrag.md 🛠️ Next Steps - Documentation Creation: Develop comprehensive documentation using tools like Sphinx or MkDocs to provide clear guidance on installation, usage, and contribution. - Image Support in RAG: Integrate capabilities to handle image data, enabling the retrieval and generation of content based on visual inputs. This could involve incorporating models like CLIP for image embeddings. - Automated Testing: Implement unit and integration tests using frameworks such as pytest to ensure code reliabilit","default_branch":null,"files":null,"tree":[],"storefront":"/r/JulioPeixoto","claimed":false,"request_supported":{"post":"https://gitbuyer.com/r/JulioPeixoto/softrag/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."}