Milvus is a high-performance, cloud-native vector database built for scalable vector ANN search - milvus-io/milvus

Search infrastructure for AI. Contribute to chroma-core/chroma development by creating an account on GitHub.

Open-source vector similarity search for Postgres. Contribute to pgvector/pgvector development by creating an account on GitHub.

awesome-vector-database A curated list of awesome vector databases for storing, managing, and searching high-dimensional data. This list includes open-source and commercial solutions, as well as databases that support different types of data and machine learning models.

Vector Search Engine for the next generation of AI applications Qdrant (read: quadrant) is a vector similarity search engine and vector database. It provides a production-ready service with a convenient API to store, search, and manage points—vectors with an additional payload. Qdrant is tailored for extended filtering support, making it useful for all sorts of neural-network or semantic ...

Faiss is a library for efficient similarity search and clustering of dense vectors. It contains algorithms that search in sets of vectors of any size, up to ones that possibly do not fit in RAM. It also contains supporting code for evaluation and parameter tuning. Faiss is written in C++ with complete wrappers for Python/numpy. Some of the most useful algorithms are implemented on the GPU. It ...

Weaviate is an open-source vector database that stores both objects and vectors, allowing for the combination of vector search with structured filtering with the fault tolerance and scalability of a cloud-native database .

Products: Open Source & Local: 100% open source, runs locally or in your cloud. No vendor lock-in. Cloud and Enterprise: Production-scale vector search with no servers to manage. Complete data sovereignty and security.

Weaviate is an open-source, cloud-native vector database that stores both objects and vectors, enabling semantic search at scale. It combines vector similarity search with keyword filtering, retrieval-augmented generation (RAG), and reranking in a single query interface. Common use cases include RAG systems, semantic and image search, recommendation engines, chatbots, and content ...

PageIndex anchors a growing open-source ecosystem of long-context AI infra — OpenKB is an LLM knowledge base that compiles documents into an interlinked wiki. ChatIndex provides tree indexing and retrieval for long conversational histories and memory. ConDB is a KV-cache native context database for tree-based retrieval at scale.