Qdrant - High-performance, massive-scale Vector Database and Vector Search Engine for the next generation of AI. Also available in the cloud https://cloud.qdrant.io/
- neural-network
- search-engine
- knn-algorithm
- hnsw
Repository Index
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A vector index built on TurboQuant, written in Rust with Python bindings
- ann
- avx512
- embeddings
- faiss
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.
- search-engine
- semantic-search
- semantic-search-engine
- vector-search
Apache Doris is a real-time analytics and hybrid search database for AI agents.
- olap
- database
- hudi
- iceberg
Approximate Nearest Neighbors in C++/Python optimized for memory usage and loading/saving to disk
- c-plus-plus
- python
- nearest-neighbor-search
- locality-sensitive-hashing
[MLsys2026 Best Paper]: https://arxiv.org/abs/2506.08276. RAG on Everything with LEANN. Enjoy 97% storage savings while running a fast, accurate, and 100% private RAG application on your personal device.
🌌 A complete search engine and RAG pipeline in your browser, server or edge network with support for full-text, vector, and hybrid search in less than 2kb.
- data-structures
- full-text
- search
- typo-tolerance
The AI search platform
- vespa
- search-engine
- big-data
- ai
Apache Pinot: a real-time analytics database for low-latency SQL and vector search, serving user-facing and agent-facing applications
Database for Android and JVM - first and fast, lightweight on-device vector database
Nornicdb is a distributed low-latency, Graph+Vector, Temporal MVCC with all sub-ms HNSW search, graph traversal, and writes. Using Neo4j Bolt/Cypher and qdrant's gRPC means you can switch with no changes while adding intelligent features like schemas, managed embeddings, reranking+llm, GPU accel, Auto-TLP, Policy-based Memory Decay, and MCP server.
- bolt
- cypher
- database
- enterprise-solutions