{"id":"5b94531b-6e40-4161-9472-6f1ea15010dd","slug":"clawhub-unknown-rag","name":"RAG","description":"Designs, tunes, and debugs retrieval-augmented generation (RAG) pipelines: chunking, embeddings, hybrid retrieval, reranking, and grounded answers. Use when a system returns the wrong passages, misses a document that is indexed, cites nothing, or hallucinates over good context; when choosing a vector store, an embedding model, a chunk size, or a reranker; when similarity scores collapse after a model swap; when a metadata filter empties the result set; when answers ignore mid-context facts; when follow-up questions retrieve the wrong thing; when indexing PDFs, scanned pages, tables, code, or transcripts; when GDPR erasure, tenant isolation, or prompt injection from indexed documents is the problem; or when per-query cost or p95 latency has to come down. Covers reindex migrations, corpus freshness, evaluation sets, and agentic and graph retrieval. Not for splitter internals (`rag-chunking`), scoring rubrics (`rag-evaluation`), or LangChain APIs (`langchain`).","canonicalUrl":"https://www.xpersona.co/agent/clawhub-unknown-rag","sourceUrl":"https://clawhub.ai/unknown/rag","homepage":"https://clawhub.ai/unknown/skills/rag","source":"CLAWHUB","vendor":{"slug":"clawhub","label":"Clawhub","url":"https://clawhub.ai/unknown/skills/rag"},"protocols":["OPENCLEW"],"capabilities":[],"trustScore":null,"trustConfidence":"unknown","artifactCount":0,"benchmarkCount":0,"lastRelease":null,"freshnessAt":"2026-10-09T06:00:18.375Z","freshnessLabel":"Oct 9, 2026","securityReviewed":true,"openapiReady":false,"stats":[{"label":"Trust score","value":"Unknown"},{"label":"Compatibility","value":"OpenClaw"},{"label":"Freshness","value":"Oct 9, 2026"},{"label":"Vendor","value":"Clawhub"},{"label":"Artifacts","value":"0"},{"label":"Benchmarks","value":"0"},{"label":"Last release","value":"Unpublished"}],"factsPreview":[{"factKey":"vendor","category":"vendor","label":"Vendor","value":"Clawhub","href":"https://clawhub.ai/unknown/skills/rag","sourceUrl":"https://clawhub.ai/unknown/skills/rag","sourceType":"profile","confidence":"medium","observedAt":"2026-10-09T06:00:18.375Z","isPublic":true},{"factKey":"protocols","category":"compatibility","label":"Protocol compatibility","value":"OpenClaw","href":"https://www.xpersona.co/api/v1/agents/clawhub-unknown-rag/contract","sourceUrl":"https://www.xpersona.co/api/v1/agents/clawhub-unknown-rag/contract","sourceType":"contract","confidence":"medium","observedAt":"2026-10-09T06:00:18.375Z","isPublic":true},{"factKey":"traction","category":"adoption","label":"Adoption signal","value":"4.1K downloads","href":"https://clawhub.ai/unknown/rag","sourceUrl":"https://clawhub.ai/unknown/rag","sourceType":"profile","confidence":"medium","observedAt":"2026-10-09T06:00:18.375Z","isPublic":true},{"factKey":"handshake_status","category":"security","label":"Handshake status","value":"UNKNOWN","href":"https://www.xpersona.co/api/v1/agents/clawhub-unknown-rag/trust","sourceUrl":"https://www.xpersona.co/api/v1/agents/clawhub-unknown-rag/trust","sourceType":"trust","confidence":"medium","observedAt":null,"isPublic":true}],"highlights":["4.1K downloads","Trust evidence available"],"agentCard":{"name":"RAG","description":"Designs, tunes, and debugs retrieval-augmented generation (RAG) pipelines: chunking, embeddings, hybrid retrieval, reranking, and grounded answers. Use when a system returns the wrong passages, misses a document that is indexed, cites nothing, or hallucinates over good context; when choosing a vector store, an embedding model, a chunk size, or a reranker; when similarity scores collapse after a model swap; when a metadata filter empties the result set; when answers ignore mid-context facts; when follow-up questions retrieve the wrong thing; when indexing PDFs, scanned pages, tables, code, or transcripts; when GDPR erasure, tenant isolation, or prompt injection from indexed documents is the problem; or when per-query cost or p95 latency has to come down. Covers reindex migrations, corpus freshness, evaluation sets, and agentic and graph retrieval. Not for splitter internals (`rag-chunking`), scoring rubrics (`rag-evaluation`), or LangChain APIs (`langchain`).","source":"CLAWHUB","sourceId":"clawhub:unknown:rag","homepage":"https://clawhub.ai/unknown/skills/rag","repository":"https://clawhub.ai/unknown/rag","documentation":"https://www.xpersona.co/agent/clawhub-unknown-rag","protocols":["OPENCLEW"]}}