{"data":{"slug":"qdrant-qdrant","name":"qdrant","tagline":"High-performance, massive-scale Vector Database and Vector Search Engine","github_url":"https://github.com/qdrant/qdrant","owner":"qdrant","repo":"qdrant","owner_avatar_url":"https://avatars.githubusercontent.com/u/73504361?v=4","primary_language":"Rust","stars":33629,"forks":2529,"topics":["ai-search","ai-search-engine","embeddings-similarity","hnsw","hybrid-search","image-search","knn-algorithm","machine-learning","mlops","nearest-neighbor-search","neural-network","neural-search","recommender-system","search","search-engine","search-engines","similarity-search","vector-database","vector-search","vector-search-engine"],"archived":false,"github_pushed_at":"2026-07-28T17:03:13+00:00","maintenance_label":"Very active","url":"https://www.graphcanon.com/tools/qdrant-qdrant","markdown_url":"https://www.graphcanon.com/tools/qdrant-qdrant.md","api_url":"https://www.graphcanon.com/api/graphcanon/tools/qdrant-qdrant","graph_url":"https://www.graphcanon.com/api/graphcanon/graph?tool=qdrant-qdrant","description":"Qdrant - High-performance, massive-scale Vector Database and Vector Search Engine for the next generation of AI. 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View a copy of the [License file](https://github.com/qdrant/qdrant/blob/master/LICENSE).","github_created_at":"2020-05-30T21:37:01+00:00","created_at":"2026-07-07T15:08:29.884119+00:00","updated_at":"2026-07-28T18:00:31.736468+00:00","categories":[{"slug":"data-retrieval","name":"Data & Retrieval","url":"https://www.graphcanon.com/categories/data-retrieval","markdown_url":"https://www.graphcanon.com/categories/data-retrieval.md","api_url":"https://www.graphcanon.com/api/graphcanon/categories/data-retrieval"},{"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":"ai-search","name":"ai-search"},{"slug":"embeddings-similarity","name":"embeddings-similarity"},{"slug":"hnsw","name":"hnsw"},{"slug":"knn-algorithm","name":"knn-algorithm"},{"slug":"nearest-neighbor-search","name":"nearest-neighbor-search"},{"slug":"vector-database","name":"vector-database"},{"slug":"vector-search-engine","name":"vector-search-engine"}],"trust":{"provenance":{"is_fork":false,"github_id":268163609,"owner_type":"Organization","methodology":"github_public_v1","parent_repo":null,"near_duplicate_slugs":[]},"computed_at":"2026-07-28T18:00:30.607Z","maintenance":{"label":"Very active","score":96,"methodology":"github_public_v1","releases_90d":4,"days_since_push":0,"last_release_at":"2026-07-17T13:18:39Z"},"security_summary":{"status":"no_lockfile","scanner":null,"low_count":0,"high_count":0,"last_scan_at":"2026-07-11T10:27:36.317Z","medium_count":0,"scan_profile":"none","critical_count":0}},"capability_facts":{"scan":{"source":"repo_scan","observed_at":"2026-07-28T18:00:31.269Z"},"deploy":{"source":"dockerfile:Dockerfile","self_host":true,"observed_at":"2026-07-28T18:00:31.269Z","managed_saas":false},"languages":{"value":["rust"],"source":"github.language","observed_at":"2026-07-28T18:00:31.269Z"},"has_docker":{"value":true,"source":"dockerfile:Dockerfile","observed_at":"2026-07-28T18:00:31.269Z"},"license_spdx":{"value":"Apache-2.0","source":"github.license","observed_at":"2026-07-28T18:00:31.269Z"}},"decision_facts":{"hosting":{"model":"self_hosted","summary":"Qdrant supports self-hosted deployment along with a cloud option at https://cloud.qdrant.io/."},"pricing":null,"requirements":{"notes":["- Distributed deployment with sharding and replication is supported.","- No specific minimum RAM requirement provided. Performance and resource use will depend on the scale of embedding collections."],"min_ram_gb":null,"requires_docker":false},"constraints":{"min_ram_gb":null,"hosting_model":"self_hosted","requires_docker":false},"when_to_use":["- When scalability and performance are paramount in handling large-scale embeddings.","- If you seek a Rust-based solution that ensures efficient horizontal scaling through sharding and replication, offering zero downtime during updates or resizing.","- For applications requiring both vector similarity searches and hybrid search capabilities, integrating seamlessly into MLOps workflows."],"when_not_to_use":["- Avoid if your project requires more traditional relational database features as Qdrant focuses exclusively on vectors.","- If minimalistic setup is crucial, since Qdrant's capability for distributed deployment may introduce complexity that is not necessary for smaller-scale applications.","- For use cases where non-Rust environments significantly limit the feasibility of integrating external tools."],"source":"enrich:decision_facts","observed_at":"2026-07-11T10:52:07.165Z"},"constraint_facets":{"min_ram_gb":null,"hosting_model":"self_hosted","requires_docker":false},"decision_summary":[{"label":"Hosting","value":"self hosted - Qdrant supports self-hosted deployment along with a cloud option at https://cloud.qdrant.io/."},{"label":"Requirements","value":"- Distributed deployment with sharding and replication is supported.; - No specific minimum RAM requirement provided. Performance and resource use will depend on the scale of embedding collections."},{"label":"Adopt for","value":"High-performance vector database with support for distributed deployment."},{"label":"License detail","value":"Qdrant is available under the Apache License 2.0."}]}}