{"data":{"slug":"dangkhoasdc-awesome-vector-database","name":"awesome-vector-database","tagline":"A curated list of works on high dimensional structure/vector search and databases","github_url":"https://github.com/dangkhoasdc/awesome-vector-database","owner":"dangkhoasdc","repo":"awesome-vector-database","owner_avatar_url":"https://avatars.githubusercontent.com/u/3388047?v=4","primary_language":null,"stars":359,"forks":31,"topics":["approximate-nearest-neighbor-search","embedding-similarity","embeddings-similarity","nearest-neighbor-search","search-engine","similarity-search","vector-database","vector-search","vector-search-engine"],"archived":false,"github_pushed_at":"2026-07-20T14:17:05+00:00","maintenance_label":"Steady","stars_delta_30d":4,"url":"https://www.graphcanon.com/tools/dangkhoasdc-awesome-vector-database","markdown_url":"https://www.graphcanon.com/tools/dangkhoasdc-awesome-vector-database.md","api_url":"https://www.graphcanon.com/api/graphcanon/tools/dangkhoasdc-awesome-vector-database","graph_url":"https://www.graphcanon.com/api/graphcanon/graph?tool=dangkhoasdc-awesome-vector-database","description":"A curated list of awesome works related to high dimensional structure/vector search & database","homepage_url":null,"license":"CC0-1.0","open_issues":10,"watchers":9,"ai_summary":"Curates projects related to vector databases, similarity search, and nearest neighbor search focusing on high-dimensional structures.","readme_excerpt":"# :mag: Awesome Vector Database \nA curated list of awesome works related to high dimensional structure/vector search & database \n\n# Services\n- [Google Vector Search (Vertex AI)](https://cloud.google.com/vertex-ai/docs/vector-search/overview)\n- [Pinecone](https://www.pinecone.io/)\n- [Weaviate](https://github.com/weaviate/weaviate) [[Beginner Guide](https://towardsdatascience.com/getting-started-with-weaviate-a-beginners-guide-to-search-with-vector-databases-14bbb9285839)]\n- [Vespa](https://vespa.ai/)\n- [txtai](https://github.com/neuml/txtai)\n- [marqo](https://github.com/marqo-ai/marqo)\n- [vectara](https://vectara.com)\n- [Epsilla](https://epsilla.com/)\n- [algolia](https://www.algolia.com/)\n- [Meilisearch](https://www.meilisearch.com/solutions/vector-search)\n- [nucliadb](https://nuclia.com/vector-database/)\n- [OpenSearch](https://opensearch.org/)\n- [MyScale](https://myscale.com)\n- [QdrantCloud](https://cloud.qdrant.io/)\n- [zilliz](https://cloud.zilliz.com/signup)\n- [OpenSearch's AlibabaCloud](https://www.alibabacloud.com/product/opensearch)\n- [Typesense's Cloud](https://cloud.typesense.org)\n- [MongoDB Atlas Vector Search](https://www.mongodb.com/products/platform/atlas-vector-search)\n- [SuperDuperDB](https://github.com/SuperDuperDB/superduperdb)\n- [KBD.AI](https://kdb.ai/)\n- [Denser Retriever](https://denser.ai)\n- [Rivestack](https://rivestack.io) — Managed PostgreSQL with pgvector for AI workloads. HNSW indexing, built-in SQL editor with embedding search, free tier available.\n\n## Comparisons\n- [From Vespa](https://cloud.vespa.ai/feature-comparison.html)\n- [Vector DB Comparison by VectorHub](https://vdbs.superlinked.com/)\n- [MyScale Vector Database Benchmark 🚀](https://github.com/myscale/vector-db-benchmark)\n  \n# Libraries & Engines\n## Multidimensional data / Vectors\n\n- :star: 🥇 [Vector DB Feature Matrix](https://docs.google.com/spreadsheets/d/170HErOyOkLDjQfy3TJ6a3XXXM1rHvw_779Sit-KT7uc/edit#gid=0)\n- :star: [Faiss](https://faiss.ai/) [Paper](https://arxiv.org/pdf/2401.08281.pdf)\n- [ArcadeDB](https://arcadedb.com/) - open-source multi-model database with native vector embedding support alongside graph, document, key-value and time series models\n- [Typesense](https://typesense.org/)\n- [Qdrant](https://qdrant.tech/)\n  - [Video tutorial](https://youtu.be/LRcZ9pbGnno), [Notebook](https://github.com/qdrant/examples/blob/master/qdrant_101_getting_started/getting_started.ipynb)\n- [annoy](https://github.com/spotify/annoy)\n- [NGT](https://github.com/yahoojapan/NGT)\n- [pgvector](https://github.com/pgvector/pgvector)\n- [Chroma](https://github.com/chroma-core/chroma) - AI memory with semantic, full-text, & regex search\n- [LlamaIndex](https://github.com/jerryjliu/llama_index)\n- [Epsilla](https://github.com/epsilla-cloud/vectordb/tree/main)\n- [jvector](https://github.com/jbellis/jvector)\n- [RAFT](https://github.com/rapidsai/raft)\n- [Vald](https://vald.vdaas.org/)\n- [Voyager](https://github.com/spotify/voyager)\n- [tinyvector](https://github.com/0hq/tinyvector)\n- [USearch](https://github.com/unum-cloud/usearch)\n- [vearch](https://vearch.github.io/)\n- [MRPT](https://github.com/vioshyvo/mrpt)\n- [milvus](https://milvus.io/)\n- [infinity](https://github.com/infiniflow/infinity)\n- [havenask](https://github.com/alibaba/havenask)\n- [chromem-go](https://github.com/philippgille/chromem-go)\n- [OasysDB](https://github.com/oasysai/oasysdb) [[Notebook](https://colab.research.google.com/drive/15_1hH7jGKzMeQ6IfnScjsc-iJRL5XyL7?usp=sharing)]\n- [Meilisearch](https://github.com/meilisearch) - Search engine API for Semantic (vectors), full-text & hybrid search\n- [arroy](https://github.com/meilisearch/arroy) - Approximate Nearest Neighbors Rust library\n- [bleve](https://github.com/blevesearch/bleve)\n- [cuVS](https://github.com/rapidsai/cuvs)\n- [vsag](https://github.com/alipay/vsag)\n- [sqlite-vec](https://github.com/asg017/sqlite-vec)\n- [MyScaleDB](https://github.com/myscale/MyScaleDB)\n- [hora](https://github.com/hora-search/hora)\n- [arroy](https://github.com/m","github_created_at":"2023-03-21T05:22:35+00:00","created_at":"2026-07-11T11:36:00.818806+00:00","updated_at":"2026-08-23T12:01:54.62572+00:00","categories":[{"slug":"vector-databases","name":"Vector Databases","url":"https://www.graphcanon.com/categories/vector-databases","markdown_url":"https://www.graphcanon.com/categories/vector-databases.md","api_url":"https://www.graphcanon.com/api/graphcanon/categories/vector-databases"}],"tags":[{"slug":"approximate-nearest-neighbor-search","name":"approximate-nearest-neighbor-search"},{"slug":"embedding-similarity","name":"embedding-similarity"},{"slug":"embeddings-similarity","name":"embeddings-similarity"},{"slug":"nearest-neighbor-search","name":"nearest-neighbor-search"},{"slug":"search-engine","name":"search-engine"},{"slug":"similarity-search","name":"similarity-search"},{"slug":"vector-database","name":"vector-database"},{"slug":"vector-search","name":"vector-search"}],"trust":{"provenance":{"is_fork":false,"github_id":616800196,"owner_type":"User","methodology":"github_public_v1","parent_repo":null,"near_duplicate_slugs":[]},"computed_at":"2026-08-23T12:01:53.942Z","maintenance":{"label":"Steady","score":60,"methodology":"github_public_v1","releases_90d":0,"days_since_push":33,"last_release_at":null,"stars_delta_30d":4,"open_issues_delta_30d":4},"security_summary":{"status":"no_lockfile","scanner":null,"low_count":0,"high_count":0,"last_scan_at":"2026-07-11T11:36:02.282Z","medium_count":0,"scan_profile":"none","critical_count":0}},"capability_facts":{"scan":{"source":"repo_scan","observed_at":"2026-08-23T12:01:54.362Z"},"license_spdx":{"value":"CC0-1.0","source":"github.license","observed_at":"2026-08-23T12:01:54.362Z"}},"decision_facts":{"hosting":null,"pricing":null,"requirements":null,"constraints":null,"when_to_use":["If you require a comprehensive overview of vector database projects and research papers, as it aggregates information from various sources across the field.","When exploring similarity search techniques for high-dimensional data in academic or preliminary stages of development to inform project decisions."],"when_not_to_use":["To find ready-to-use implementations or specific product releases; 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