{"adoption": {"forks": 146, "observed_at": "2026-08-28T04:04:18.904957+00:00", "stars": 1306}, "canonical_url": "https://ross.abutalabs.com/products/aperag", "card": {"archived": false, "artifact_type": "service", "description": "ApeRAG: Production-ready GraphRAG with multi-modal indexing, AI agents, MCP support, and scalable K8s deployment", "domain": ["large-language-models", "self-hosted"], "enriched": true, "function": ["rag", "search-engine", "vector-database", "agent-framework", "mcp", "chatbot", "nlp", "llm-inference"], "health_score": 86, "homepage": null, "language": "Python", "license": "Apache-2.0", "license_family": "permissive", "maturity": "active", "member_repos": ["apecloud/ApeRAG"], "name": "apecloud/ApeRAG", "platform": ["python", "self-hosted", "cloud"], "pushed_at": "2026-05-02T05:01:36+00:00", "repo": "apecloud/ApeRAG", "stars": 1306, "tags": ["graphrag", "knowledge-graph", "hybrid-search", "multimodal", "context-engineering", "mcp-server", "production-ready", "retrieval-augmented-generation", "ai-agents", "search", "natural-language-processing", "docker", "kubernetes", "web-server"], "topics": ["agents", "graphrag", "knowledge-graph", "mcp", "context-engineering"], "urls": [], "use_cases": ["build a knowledge graph from my documents", "self-host a RAG platform with hybrid search", "expose my knowledge base to AI assistants via MCP", "chat with my documents using graph and vector retrieval", "deploy a production RAG service on Kubernetes", "parse and index multimodal documents for AI search"], "what_it_is": "ApeRAG is a production-ready RAG platform combining Graph RAG, vector search, and full-text search with AI agents and MCP support. It offers multimodal document indexing, knowledge graph construction, and scalable Kubernetes deployment.", "when_to_avoid": ["you only need a lightweight embedding library to embed in your own app", "you want a fully managed cloud RAG service with zero ops", "your hardware cannot meet the 2-core/4GB minimum requirements"], "when_to_choose": ["you need GraphRAG with knowledge graph construction out of the box", "you want hybrid retrieval combining vector, full-text, and graph search", "you need MCP integration so AI assistants can query your knowledge base", "you want a self-hosted, Kubernetes-scalable RAG platform"]}, "data_as_of": "2026-08-30T08:39:29.467469+00:00", "members": [{"path": "/products/aperag", "repo": "apecloud/ApeRAG", "role": "main", "score": 55}], "provenance": {"archived": {"kind": "observed", "observed_at": "2026-08-28T04:04:18.904957+00:00", "source": "github"}, "artifact_type": {"confidence": null, "enriched_at": "2026-08-30T04:50:57.176363+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "a3d34f753450ef9c70cd53674af6015fce5ad54cb8100fa57dc8c5f268332d11", "fetched_at": "2026-08-28T04:04:18.904957+00:00", "kind": "readme", "missing": false, "url": "https://github.com/apecloud/ApeRAG"}], "taxonomy_version": 1}, "description": {"kind": "observed", "observed_at": "2026-08-28T04:04:18.904957+00:00", "source": "github"}, "domain": {"confidence": null, "enriched_at": "2026-08-30T04:50:57.176363+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "a3d34f753450ef9c70cd53674af6015fce5ad54cb8100fa57dc8c5f268332d11", "fetched_at": "2026-08-28T04:04:18.904957+00:00", "kind": "readme", "missing": false, "url": "https://github.com/apecloud/ApeRAG"}], "taxonomy_version": 1}, "enriched": {"inputs": [], "kind": "computed", "method": "enrichment_status"}, "function": {"confidence": null, "enriched_at": "2026-08-30T04:50:57.176363+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "a3d34f753450ef9c70cd53674af6015fce5ad54cb8100fa57dc8c5f268332d11", "fetched_at": "2026-08-28T04:04:18.904957+00:00", "kind": "readme", "missing": false, "url": "https://github.com/apecloud/ApeRAG"}], "taxonomy_version": 1}, "health_score": {"inputs": ["days_since_push", "days_since_release", "archived"], "kind": "computed", "method": "health_v1"}, "homepage": {"kind": "observed", "observed_at": "2026-08-28T04:04:18.904957+00:00", "source": "github"}, "language": {"kind": "observed", "observed_at": "2026-08-28T04:04:18.904957+00:00", "source": "github"}, "license": {"kind": "observed", "observed_at": "2026-08-28T04:04:18.904957+00:00", "source": "github"}, "license_family": {"inputs": ["license"], "kind": "computed", "method": "license_family"}, "maturity": {"confidence": null, "enriched_at": "2026-08-30T04:50:57.176363+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "a3d34f753450ef9c70cd53674af6015fce5ad54cb8100fa57dc8c5f268332d11", "fetched_at": "2026-08-28T04:04:18.904957+00:00", "kind": "readme", "missing": false, "url": "https://github.com/apecloud/ApeRAG"}], "taxonomy_version": 1}, "member_repos": {"kind": "observed", "observed_at": "2026-08-28T04:04:18.904957+00:00", "source": "github"}, "name": {"kind": "observed", "observed_at": "2026-08-28T04:04:18.904957+00:00", "source": "github"}, "platform": {"confidence": null, "enriched_at": "2026-08-30T04:50:57.176363+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "a3d34f753450ef9c70cd53674af6015fce5ad54cb8100fa57dc8c5f268332d11", "fetched_at": "2026-08-28T04:04:18.904957+00:00", "kind": "readme", "missing": false, "url": "https://github.com/apecloud/ApeRAG"}], "taxonomy_version": 1}, "pushed_at": {"kind": "observed", "observed_at": "2026-08-28T04:04:18.904957+00:00", "source": "github"}, "repo": {"kind": "observed", "observed_at": "2026-08-28T04:04:18.904957+00:00", "source": "github"}, "stars": {"kind": "observed", "observed_at": "2026-08-28T04:04:18.904957+00:00", "source": "github"}, "tags": {"confidence": null, "enriched_at": "2026-08-30T04:50:57.176363+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "a3d34f753450ef9c70cd53674af6015fce5ad54cb8100fa57dc8c5f268332d11", "fetched_at": "2026-08-28T04:04:18.904957+00:00", "kind": "readme", "missing": false, "url": "https://github.com/apecloud/ApeRAG"}], "taxonomy_version": 1}, "topics": {"kind": "observed", "observed_at": "2026-08-28T04:04:18.904957+00:00", "source": "github"}, "urls": {"kind": "observed", "observed_at": "2026-08-28T04:04:18.904957+00:00", "source": "github"}, "use_cases": {"confidence": null, "enriched_at": "2026-08-30T04:50:57.176363+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "a3d34f753450ef9c70cd53674af6015fce5ad54cb8100fa57dc8c5f268332d11", "fetched_at": "2026-08-28T04:04:18.904957+00:00", "kind": "readme", "missing": false, "url": "https://github.com/apecloud/ApeRAG"}], "taxonomy_version": 1}, "what_it_is": {"confidence": null, "enriched_at": "2026-08-30T04:50:57.176363+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "a3d34f753450ef9c70cd53674af6015fce5ad54cb8100fa57dc8c5f268332d11", "fetched_at": "2026-08-28T04:04:18.904957+00:00", "kind": "readme", "missing": false, "url": "https://github.com/apecloud/ApeRAG"}], "taxonomy_version": 1}, "when_to_avoid": {"confidence": null, "enriched_at": "2026-08-30T04:50:57.176363+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "a3d34f753450ef9c70cd53674af6015fce5ad54cb8100fa57dc8c5f268332d11", "fetched_at": "2026-08-28T04:04:18.904957+00:00", "kind": "readme", "missing": false, "url": "https://github.com/apecloud/ApeRAG"}], "taxonomy_version": 1}, "when_to_choose": {"confidence": null, "enriched_at": "2026-08-30T04:50:57.176363+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "a3d34f753450ef9c70cd53674af6015fce5ad54cb8100fa57dc8c5f268332d11", "fetched_at": "2026-08-28T04:04:18.904957+00:00", "kind": "readme", "missing": false, "url": "https://github.com/apecloud/ApeRAG"}], "taxonomy_version": 1}}, "score": {"components": {"activity": 80, "longevity": 83, "rhythm": 8}, "computed_at": "2026-09-02T17:46:02.011165+00:00", "flags": [], "formula": "round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)", "inputs": {"age_days": 1170, "days_push": 123, "days_rel": 524, "gap_med": null, "n_releases_24m": 1}, "score": 55, "version": 2}, "staleness": {"enrichment_outdated": false, "low_confidence": false, "scrape_days": 9, "stale_scrape": false}}