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Guides

Task- and concept-oriented walkthroughs of Refindery's capabilities. Each guide explains how the feature works and links to the precise API contract in the Reference.

  • Ingesting pages — capture → index → enrich, the page lifecycle, and revisit semantics.
  • Watches — poll RSS/Atom feeds and YouTube playlists/channels on a schedule and auto-ingest new items.
  • Searching — the hybrid retrieval pipeline, filters, recency decay, and A/B compare.
  • MCP for agents — connect an LLM agent, read vs mutating tools, and grounding.
  • Evaluation — score and replay retrieval quality from the query log.
  • Clustering — resurface reading themes with stable cluster IDs.
  • Entities — extraction chains and corpus-internal canonicalization.
  • Embedding models — register, backfill, activate, and compare models.
  • Deletion & blacklist — purge content and block re-ingestion atomically.

The Architecture overview ties these together into the ingest → index → cluster data flow and the search pipeline.