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Documentdb Full Text Search

skill-azure-documentdb-agent-kit-full-text-search · by Azure

Full-text search best practices for Azure DocumentDB using the `createSearchIndexes` command and `$search` aggregation stage — BM25 keyword scoring, fuzzy search (`maxEdits`), phrase search with `slop`, custom analyzers (keyword + lowerCase + asciiFolding + edgeGram) for prefix / ID matching, `pathHierarchy` tokenizer for hierarchical IDs, multi-field search indexes, and hybrid (BM25 + vector) re…

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Install

$ agentstack add skill-azure-documentdb-agent-kit-full-text-search

✓ scanned · ✓ verified, works with Claude Code, Cursor, and more.

Security review

✓ Passed

No issues found. Passed automated security review. · v0.1.0 How review works →

  • ✓ Prompt-injection patterns
  • ✓ Secret / credential exfiltration
  • ✓ Dangerous shell & filesystem operations
  • ✓ Untrusted network calls
  • ✓ Known-malicious package signatures

What it can access

  • ✓ Network access No
  • ✓ Filesystem access No
  • ✓ Shell / process execution No
  • ✓ Environment & secrets No
  • ✓ Dynamic code execution No

From automated source analysis of v0.1.0. “Used” means the capability is present in the source — more access means more to trust, not that it’s unsafe.

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Reliability & compatibility

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About

Full-Text Search — Azure DocumentDB ($search + createSearchIndexes)

Azure DocumentDB's full-text search is driven by search indexes built with the createSearchIndexes database command and queried through the $search aggregation stage. Scoring is BM25, exposed via $meta: "searchScore". The community $text operator and { field: "text" } index type are not the DocumentDB search path.

Key syntax points that differ from many blog posts and older docs:

  • Index command is createSearchIndexes (not createIndexes) — each index has a name and a definition.mappings.fields block; dynamic: false is the safe default.
  • Custom analyzers live inside definition.analyzers and are referenced per-field via analyzer / searchAnalyzer.
  • $search targets an index by name via index: "" — the engine does not auto-pick when multiple exist.
  • No count field inside $search — use a downstream { $limit: N } stage.
  • No compound operator yet — query one field at a time and merge in the application (see fts-multifield-index).

Rules

  • [fts-create-search-index](fts-create-search-index.md) — Create a search index via runCommand({ createSearchIndexes }); use definition.mappings with dynamic: false.
  • [fts-basic-search](fts-basic-search.md) — $search + text operator for BM25 keyword search; target index, project searchScore, cap with $limit.
  • [fts-fuzzy-search](fts-fuzzy-search.md) — Add fuzzy: { maxEdits: 1 } to tolerate typos; keep maxEdits small.
  • [fts-phrase-search](fts-phrase-search.md) — phrase operator with slop for ordered-proximity matching.
  • [fts-custom-analyzers](fts-custom-analyzers.md) — Keyword tokenizer + lowerCase + asciiFolding + edgeGram for case-insensitive prefix matching on IDs, SKUs, part numbers. Index-time vs search-time analyzer pair.
  • [fts-path-hierarchy](fts-path-hierarchy.md) — pathHierarchy tokenizer for hierarchical identifiers (BN-747-ENG-2024.05, dotted, slash paths).
  • [fts-multifield-index](fts-multifield-index.md) — One search index mapping multiple fields; fan-out-and-merge in the app while $search compound is unavailable.
  • [fts-hybrid-search](fts-hybrid-search.md) — Combine BM25 and vector search (RRF) on the same collection.

Source & license

This open-source skill is cataloged on AgentStack and links to its original source — we do not rehost the code.

Install and usage instructions live in the source repository linked above.

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Versions

  • v0.1.0 Imported from the upstream source.

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