{"data":{"slug":"philippgille-chromem-go","name":"chromem-go","tagline":"Embeddable vector database for Go with Chroma-like interface.","github_url":"https://github.com/philippgille/chromem-go","owner":"philippgille","repo":"chromem-go","owner_avatar_url":"https://avatars.githubusercontent.com/u/170670?v=4","primary_language":"Go","stars":1047,"forks":75,"topics":["chroma","chromadb","cosine-similarity","embedded","embeddings","go","golang","in-memory","llm","llms","nearest-neighbor","rag","retrieval-augmented-generation","vector-database","vector-search"],"archived":false,"github_pushed_at":"2026-05-17T18:00:12+00:00","maintenance_label":"Slowing","stars_delta_30d":14,"url":"https://www.graphcanon.com/tools/philippgille-chromem-go","markdown_url":"https://www.graphcanon.com/tools/philippgille-chromem-go.md","api_url":"https://www.graphcanon.com/api/graphcanon/tools/philippgille-chromem-go","graph_url":"https://www.graphcanon.com/api/graphcanon/graph?tool=philippgille-chromem-go","description":"Embeddable vector database for Go with Chroma-like interface and zero third-party dependencies. In-memory with optional persistence.","homepage_url":null,"license":"MPL-2.0","open_issues":18,"watchers":12,"ai_summary":"An embeddable in-memory vector database written in Go, offering a Chroma-like interface and support for cosine similarity searches among other features. It is designed to be used as an embedded component within applications without requiring third-party dependencies.","readme_excerpt":"## Installation\n\n`go get github.com/philippgille/chromem-go@latest`","github_created_at":"2023-12-24T10:50:18+00:00","created_at":"2026-07-07T17:44:43.759591+00:00","updated_at":"2026-08-21T18:01:59.070565+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":"chroma","name":"chroma"},{"slug":"cosine-similarity","name":"cosine-similarity"},{"slug":"embeddings","name":"embeddings"},{"slug":"in-memory","name":"in-memory"},{"slug":"llms","name":"llms"},{"slug":"nearest-neighbor","name":"nearest-neighbor"},{"slug":"vector-database","name":"vector-database"},{"slug":"vector-search","name":"vector-search"}],"trust":{"provenance":{"is_fork":false,"github_id":735283134,"owner_type":"User","methodology":"github_public_v1","parent_repo":null,"near_duplicate_slugs":[]},"computed_at":"2026-08-21T18:01:58.307Z","maintenance":{"label":"Slowing","score":36,"methodology":"github_public_v1","releases_90d":0,"days_since_push":96,"last_release_at":"2024-09-01T17:30:26Z","stars_delta_30d":14,"open_issues_delta_30d":1},"security_summary":{"status":"no_lockfile","scanner":null,"low_count":0,"high_count":0,"last_scan_at":"2026-07-11T11:26:31.553Z","medium_count":0,"scan_profile":"none","critical_count":0}},"capability_facts":{"scan":{"source":"repo_scan","observed_at":"2026-08-21T18:01:58.794Z"},"languages":{"value":["go"],"source":"github.language","observed_at":"2026-08-21T18:01:58.794Z"},"license_spdx":{"value":"MPL-2.0","source":"github.license","observed_at":"2026-08-21T18:01:58.794Z"}},"decision_facts":{"hosting":null,"pricing":null,"requirements":{"min_ram_gb":0.5,"requires_docker":false},"constraints":{"min_ram_gb":0.5,"requires_docker":false},"when_to_use":["If you are building applications in Go and require an in-memory vector database without additional third-party libraries.","When you need an efficient nearest-neighbor retrieval system within your application logic written in Go."],"when_not_to_use":["Avoid Chromem-go if you seek a traditional, disk-based persistence model as it primarily supports in-memory operations with optional persistence options.","Chromem-go is not the best choice if your application requires heavy concurrent load and large-scale data handling which might surpass the in-memory capability limits of this library."],"source":"enrich:decision_facts","observed_at":"2026-07-11T03:33:17.119Z"},"constraint_facets":{"min_ram_gb":0.5,"requires_docker":false},"decision_summary":[{"label":"Requirements","value":"Min 0.5 GB RAM"},{"label":"Adopt for","value":"Chromem-go is an embeddable vector database for Go that provides a Chroma-like interface with no third-party dependencies, suitable for applications needing in-memory persistence and cosine similarity search capabilities"}]}}