documentdb-full-text-search
Full-text search best practices for Azure DocumentDB using the `createSearchIndexes` command and `$search` aggregation stage — BM25 keyword scoring, fuzzy…
Skill by khelanmodi
Install
Works with Claude Code, Claude apps, Codex, Cursor, Gemini CLI, GitHub Copilot, VS Code, OpenCode, Goose, Windsurf. Read the repository before you give any tool access to your data.
npx agentmarket install skill/khelanmodi-documentdb-full-text-search
Asks which of your tools to add it to (Claude Code, Codex, Cursor, VS Code, Windsurf, Gemini CLI, Claude Desktop) and shows the change first. See https://agentmart.dev/cli.
Get the weekly diff
The weekly diff: one email a week with new agent tools, notable updates and grade changes, plus security alerts for tools you follow. Double opt-in, one-click unsubscribe.
About
Use cases: cloud
Reviews
Write a reviewNo reviews yet. Installed it? Reviews come from verified installers only. How reviews work
Permissions: not checked yet.
What's inside
- Skill name
documentdb-full-text-search- Description
- Full-text search best practices for Azure DocumentDB using the `createSearchIndexes` command and `$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) retrieval via Reciprocal Rank Fusion. Use when building search experiences, adding typo tolerance, matching phrases or prefixes on IDs / SKUs / part numbers, or combining lexical and semantic retrieval on the same collection.
- License
- MIT
- Instructions
- 24 lines in SKILL.md · view on GitHub
Agent Skills spec issues
- name: "documentdb-full-text-search" does not match folder "full-text-search"
Files (9)
- SKILL.md
- fts-basic-search.md
- fts-create-search-index.md
- fts-custom-analyzers.md
- fts-fuzzy-search.md
- fts-hybrid-search.md
- fts-multifield-index.md
- fts-path-hierarchy.md
- fts-phrase-search.md
SKILL.md (first lines)
# 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`.
- **`$search` targets an index by name** via `index: "<name>"` — the engine does not auto-pick when multiple exist.
- **No `count` field** inside `$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.From khelanmodi/documentdb-agent-kit, MIT.
More from khelanmodi/documentdb-agent-kit
- 0.406score
documentdb-mcp-setup
khelanmodi
Guide users through configuring the DocumentDB MCP server for Azure DocumentDB.
SkillDFreshness: DClaude Code +9 - 0.401score
documentdb-cluster-sharding
khelanmodi
Cluster sizing and sharding guidance for Azure DocumentDB — choosing M-tier (M10–M200+), when to scale vertically vs horizontally, and how to pick a shard key…
SkillDFreshness: DClaude Code +9 - 0.401score
documentdb-high-availability
khelanmodi
High availability and disaster-recovery best practices for Azure DocumentDB — enabling in-region HA (99.99% SLA) and adding active-passive cross-region…
SkillDFreshness: DClaude Code +9
Signals
- Stars
- 0
- Forks
- 1
- Open issues
- 2
- Last commit (this folder)
- Apr 22, 2026 (6 months ago)
From GitHub (fetched Oct 24, 2026).
Details
- License
- MIT
- First seen
- Oct 24, 2026
- Last checked
- Oct 24, 2026
- Source
- GitHubgithub-graphql
Same skill elsewhere
Copies of this SKILL.md published by others; search shows only one of them.
More from khelanmodi
- 0.406score
documentdb-mcp-setup
khelanmodi
Guide users through configuring the DocumentDB MCP server for Azure DocumentDB.
SkillDFreshness: DClaude Code +9 - 0.401score
documentdb-cluster-sharding
khelanmodi
Cluster sizing and sharding guidance for Azure DocumentDB — choosing M-tier (M10–M200+), when to scale vertically vs horizontally, and how to pick a shard key…
SkillDFreshness: DClaude Code +9 - 0.401score
documentdb-high-availability
khelanmodi
High availability and disaster-recovery best practices for Azure DocumentDB — enabling in-region HA (99.99% SLA) and adding active-passive cross-region…
SkillDFreshness: DClaude Code +9
Cite this page
documentdb-full-text-search skill. Agent Mart. https://agentmart.dev/skills/khelanmodi-documentdb-full-text-search (last updated 2026-10-24)