8 docs tagged with "Search"

Pair raw search results with related evidence, summary metrics, and traversal paths so users and agents can understand why a result was returned.

Ingest PDFs, web pages, and database records as distinct labels, then search across all sources in a single vector query with source-aware citations.

Improve retrieval precision with two-stage search — over-fetch candidates with vector similarity, then rerank with LLM scoring or Reciprocal Rank Fusion before sending to the LLM.

Learn the canonical SearchQuery shape reused across records, properties, labels, relationships, and values

Combine structured filters, semantic ranking, and contextual fields to build explainable, user-facing search experiences on top of RushDB.

Build confidence with advanced SearchQuery patterns through realistic RushDB examples

Build tenant-safe semantic retrieval using RushDB's project-scoped prefilter and exact cosine similarity ranking — without global index assumptions.

Create embedding indexes, wait for backfill, and run your first semantic search query in TypeScript, Python, or REST.