Vector databases.
Self-hosted stores for embeddings and similarity search. The retrieval layer under RAG, not the chat UI.
Sorted by Most popular
- RAGLightRAGLight is a modular framework for Retrieval-Augmented Generation (RAG). It makes it easy to plug in different LLMs, embeddings, and vector stores, and now includes seamless MCP integration to connect external tools and data sources.MIT · Linux672
- pgx♟️ Vectorized RL game environments in JAXApache 2.0 · Linux648
- classifier-free-guidance-pytorchImplementation of Classifier Free Guidance in Pytorch, with emphasis on text conditioning, and flexibility to include multiple text embedding modelsMIT · Linux544
- rtdl-num-embeddings(NeurIPS 2022) On Embeddings for Numerical Features in Tabular Deep LearningMIT · Linux419
- sraiSpatial Representations for Artificial Intelligence - a Python library toolkit for geospatial machine learning focused on creating embeddings for downstream tasksApache 2.0 · Linux390
- ai-real-estate-assistantOpen-source AI real estate search with RAG, vector search, multi-provider LLMs, FastAPI, Next.js, ChromaDB, and a live demo.MIT · Linux309
- beyondllmBuild, evaluate and observe LLM appsApache 2.0 · Linux297
- ahnlichSuite of tools containing an in-memory vector datastore and AI proxyMIT · Linux244
- file-brainSmart local file search app that understands your filesGPL-3.0 · Linux219
21–29 of 29