vector-database

A simple, fast and versatile Datalog database

The open document intelligence platform for builders and hackers - DMS for the agentic world

Python SDK for Milvus Vector Database

Nearest Neighbor Search with Neighborhood Graph and Tree for High-dimensional Data

Python client for Qdrant vector search engine

Infinispan is an open source data grid platform and highly scalable NoSQL cloud data store.

A 7-layer memory operating system for Hermes Agent — persistent memory with Qdrant, structured facts, fabric recall, auto-curated wiki, and surgical context injection. Runs locally, any LLM provider.

Endee.io – A high-performance vector database, designed to handle up to 1B vectors on a single node, delivering significant performance gains through optimized indexing and execution. Also available in cloud https://endee.io/

Highly Performant, Modular, Memory Safe and Production-ready Inference, Ingestion and Indexing built in Rust 🦀

local-first semantic code search engine

Benchmark for vector databases.

ArcadeDB Multi-Model Database, one DBMS that supports SQL, Cypher, Gremlin, HTTP/JSON, MongoDB and Redis. ArcadeDB is a conceptual fork of OrientDB, the first Multi-Model DBMS. ArcadeDB supports Vector Embeddings.

Embeddable vector database for Go with Chroma-like interface and zero third-party dependencies. In-memory with optional persistence.

Retrieval Augmented Generation (RAG) framework and context engine powered by Pinecone

Ship RAG based LLM web apps in seconds.

Lite & Super-fast re-ranking for your search & retrieval pipelines. Supports SoTA Listwise and Pairwise reranking based on LLMs and cross-encoders and more. Created by Prithivi Da, open for PRs & Collaborations.

Resource, examples & tutorials for multimodal AI, RAG and agents using vector search and LLMs

⚕️GenAI powered multi-agentic medical diagnostics and healthcare research assistance chatbot. 🏥 Designed for healthcare professionals, researchers and patients.

This repository shares end-to-end notebooks on how to use various Weaviate features and integrations!

Agent memory for LLMs: 30 runnable Jupyter notebooks covering conversation buffers, vector stores, knowledge graphs, episodic and semantic memory, MemGPT, Mem0, Letta, Zep, Graphiti, LoCoMo benchmarks, and production patterns.