By SkardiLabs
Stand up server-backed hybrid-search RAG with skardi-server in front of a user-supplied datastore (Postgres+pgvector, MongoDB, or Lance). Renders ctx + ingest/search-vector/search-fulltext/search-hybrid pipelines, drives ingestion and querying over HTTP. Never creates schema for the user.
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npx claudepluginhub skardilabs/skardi-skills --plugin auto-ragAgent-autonomous knowledge-base construction with Skardi: turn a directory of docs into a hybrid (vector + FTS) queryable KB using Skardi CLI + SQLite + sqlite-vec, no servers or API keys. Postgres+pgvector and Lance supported as overrides.
Core Skardi concepts (auth, SQLite, pipelines, CSRF, DataFusion SQL dialect) plus deploying Skardi to Sealos via kubectl. Includes ready-to-use templates: K8s manifest, Dockerfiles, Next.js proxy, docker-compose for local dev, and an init-db scaffold.
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