{"data":{"slug":"alibaba-zvec","name":"zvec","tagline":"A lightweight, lightning-fast, in-process vector database","github_url":"https://github.com/alibaba/zvec","owner":"alibaba","repo":"zvec","owner_avatar_url":"https://avatars.githubusercontent.com/u/1961952?v=4","primary_language":"C++","stars":15455,"forks":977,"topics":["agent-skills","db","embedded","faiss","hnsw","llm-memory","local","rag","search-engine","semantic-search","similarity-search","vector-database","vector-db"],"archived":false,"github_pushed_at":"2026-08-17T12:47:10+00:00","maintenance_label":"Very active","stars_delta_30d":361,"url":"https://www.graphcanon.com/tools/alibaba-zvec","markdown_url":"https://www.graphcanon.com/tools/alibaba-zvec.md","api_url":"https://www.graphcanon.com/api/graphcanon/tools/alibaba-zvec","graph_url":"https://www.graphcanon.com/api/graphcanon/graph?tool=alibaba-zvec","description":"A lightweight, lightning-fast, in-process vector database","homepage_url":"https://zvec.org","license":"Apache-2.0","open_issues":62,"watchers":70,"ai_summary":"Zvec provides a high-performance embedded vector database with multi-language SDKs including Python, Node.js, Go, Rust, Dart/Flutter. It supports functionalities relevant to agent skills, FAISS, HNSW, LLM memory, RAG systems, search engines, and semantic/similarity searches.","readme_excerpt":"## 📦 Installation\n\nZvec offers official SDKs across multiple languages:\n\n- **[Python](https://pypi.org/project/zvec/)**: `pip install zvec` (requires 64-bit Python 3.10–3.14)\n- **[Node.js](https://www.npmjs.com/package/@zvec/zvec)**: `npm install @zvec/zvec`\n- **[Go](https://github.com/zvec-ai/zvec-go)**: High-performance Go bindings.\n- **[Rust](https://crates.io/crates/zvec-rust)**: `cargo add zvec-rust`\n- **[Dart/Flutter](https://pub.dev/packages/zvec)**: `flutter pub add zvec`\n\nPrefer a visual tool? Try **[Zvec Studio](https://github.com/zvec-ai/zvec-studio)** to browse data and debug queries — no code required.","github_created_at":"2025-12-05T07:45:38+00:00","created_at":"2026-07-07T17:36:55.310459+00:00","updated_at":"2026-08-18T06:02:16.585387+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":"agent-skills","name":"agent-skills"},{"slug":"db","name":"db"},{"slug":"embedded","name":"embedded"},{"slug":"faiss","name":"faiss"},{"slug":"hnsw","name":"hnsw"},{"slug":"llm-memory","name":"llm-memory"},{"slug":"local","name":"local"},{"slug":"rag","name":"rag"}],"trust":{"provenance":{"is_fork":false,"github_id":1110443421,"owner_type":"Organization","methodology":"github_public_v1","parent_repo":null,"near_duplicate_slugs":[]},"computed_at":"2026-08-18T06:02:15.855Z","maintenance":{"label":"Very active","score":96,"methodology":"github_public_v1","releases_90d":3,"days_since_push":0,"last_release_at":"2026-07-20T06:06:19Z","stars_delta_30d":361,"open_issues_delta_30d":-5},"security_summary":{"status":"no_lockfile","scanner":null,"low_count":0,"high_count":0,"last_scan_at":"2026-07-11T11:08:18.234Z","medium_count":0,"scan_profile":"none","critical_count":0}},"capability_facts":{"scan":{"source":"repo_scan","observed_at":"2026-08-18T06:02:16.318Z"},"languages":{"value":["c++","python"],"source":"github.language+pyproject.toml","observed_at":"2026-08-18T06:02:16.318Z"},"license_spdx":{"value":"Apache-2.0","source":"github.license","observed_at":"2026-08-18T06:02:16.318Z"}},"decision_facts":{"hosting":null,"pricing":{"model":"freemium","summary":"Open-source under Apache-2.0 license; free to use and modify for personal or commercial purposes."},"requirements":{"notes":["Minimum RAM requirement corresponds to recommended system resources for optimal performance without overburdening the host environment."],"min_ram_gb":1},"constraints":{"min_ram_gb":1,"pricing_model":"freemium"},"when_to_use":["Ideal for applications that require ultra-fast searching capabilities within an embedded solution.","Best suited for developers preferring lightweight and multi-language SDKs, including Python (3.10-3.14), Node.js, Go, Rust, Dart/Flutter environments.","Use when you want to leverage functionalities such as agent skills, FAISS, HNSW, LLM memory, RAG systems, search engines, and semantic/similarity searches in a streamlined package."],"when_not_to_use":["Not recommended if your project requires Python versions outside of 3.10-3.14 for its Python SDK.","If you need a distributed vector database that operates across multiple nodes or services, zvec’s in-process and embedded nature may be restrictive.","Consider alternatives if Zvec's current language support (Python, Node.js, Go, Rust, Dart/Flutter) does not align with the languages used in your project."],"source":"enrich:decision_facts","observed_at":"2026-07-11T15:06:52.353Z"},"constraint_facets":{"min_ram_gb":1,"pricing_model":"freemium"},"decision_summary":[{"label":"Pricing","value":"freemium - Open-source under Apache-2.0 license; free to use and modify for personal or commercial purposes."},{"label":"Requirements","value":"Min 1 GB RAM; Minimum RAM requirement corresponds to recommended system resources for optimal performance without overburdening the host environment."},{"label":"Adopt for","value":"zvec is a highly performant, in-process vector database with support across multiple languages."}]}}