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postgres-hybrid-text-search skillA

postgres-hybrid-text-search is agent-read markdown (skill) from timescale/pg-aiguide: Use this skill to implement hybrid search combining BM25 keyword search with semantic vector search using Reciprocal Rank Fusion (RRF). **Trigger when user asks to:** - Combine keyword and semantic search - Implement hybrid search or multi-modal retrieval - Use BM25/pg_textsearch with pgvector together - Implement RRF (Reciprocal Rank Fusion) for search - Build search that handles both exact terms and meaning **Keywords:** hybrid search, BM25, pg_textsearch, RRF, reciprocal rank fusion, keywo.

Indexed from public GitHub and served as immutable, content-addressed versions. Install it pinned to an exact SHA-256 with the mdr CLI, and every file is verified before it reaches your agent: the main file against the SHA-256 recorded here, the others against the git hashes of its source commit. The deterministic audit below grades the latest version, and the same checks always give the same file the same grade.

What the file says

# Hybrid Text Search

Hybrid search combines keyword search (BM25) with semantic search (vector embeddings) to get the best of both: exact keyword matching and meaning-based retrieval. Use Reciprocal Rank Fusion (RRF) to merge results from both methods into a single ranked list.

This guide covers combining [pg_textsearch](https://github.com/timescale/pg_textsearch) (BM25) with [pgvector](https://github.com/pgvector/pgvector). Requires both extensions. For high-volume setups, filtering, or advanced pgvector tuning (binary quantization, HNSW parameters), see the **pgvector-semantic-search** skill.

pg_textsearch is a new BM25 text search extension for PostgreSQL, fully open-source and available hosted on Tiger Cloud as well as for self-managed deployments. It provides true BM25 ranking, which often improves relevance compared to PostgreSQL's built-in ts_rank and can offer better performance at scale. Note: pg_textsearch is currently in prerelease and not yet recommended for production use. pg_textsearch currently supports PostgreSQL 17 and 18.

## When to Use Hybrid Search

- **Use hybrid** when queries mix specific terms (product names, codes, proper nouns) with conceptual intent
…

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How to install

Latest version
mdr add timescale/pg-aiguide/postgres-hybrid-text-search@git:20260407.0da8f4e
Exact content
mdr add timescale/pg-aiguide/postgres-hybrid-text-search@sha256:cb4837e06c8072ac

Pin to a label to follow the author's releases, or to a sha256 for exact bytes. Either way the resolved hash is written to mdr.lock, and mdr install fetches those bytes again and checks them, so it installs them exactly or fails.

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Versions

versioncommittedcommitsizeaudit
git:20260407.0da8f4e latest2026-04-07 0da8f4e 12,600 BA view · diff
git:20260202.cb628262026-02-02 cb62826 12,468 BA view · diff
git:20260128.fb361012026-01-28 fb36101 11,858 BA view

Audit of the latest version

A  17 of 17 checks passed. Deterministic, no model, same answer every run.
  • pass: Frontmatter block present
  • pass: Frontmatter declares a name
  • pass: Frontmatter declares a description
  • pass: Size between 200 bytes and 200 KB (12600 bytes)
  • pass: No zero-width or bidi control characters
  • pass: No instruction hidden inside an HTML comment
  • pass: No link to an exfiltration or paste host
  • pass: No credential-shaped string
  • pass: No instruction to send local credentials anywhere
  • pass: No text hidden with inline styles
  • pass: No prompt-injection phrasing
  • pass: No curl or wget piped into a shell
  • pass: No recursive delete of root, home or parent
  • pass: No instruction to read or print local credentials
  • pass: No base64 blob over 200 characters
  • pass: No link to a raw IP address
  • pass: No script tag

Source

GitHub

timescale/pg-aiguide · 1,849 stars · license Apache-2.0 · pushed 2026-09-25 · branch main

API

GET https://markdownregistry.com/api/v1/artifacts/art_kvgszby6afr7ngkc
GET https://markdownregistry.com/api/v1/resolve?ref=timescale/pg-aiguide/postgres-hybrid-text-search
GET https://markdownregistry.com/api/v1/blob/cb4837e06c8072acbd1134522d6f29bec819c4b8ae0fc6417f106e739b7421e8

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