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timescale/pg-aiguide

postgres

Use this skill for any PostgreSQL database work — table design, indexing, data types, constraints, extensions (pgvector, PostGIS, TimescaleDB), search, and migrations.

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PostgreSQL Expert Skills

This skill provides comprehensive PostgreSQL expertise through specialized references. Load the appropriate reference based on the task.

Available References

Table Design

  • [design-postgres-tables](references/design-postgres-tables.md) — Data types, constraints, indexes, JSONB patterns, partitioning, and PostgreSQL best practices. Use for any general table/schema design task.
  • [design-postgis-tables](references/design-postgis-tables.md) — PostGIS spatial table design: geometry vs geography types, SRIDs, spatial indexing, and location-based query patterns. Use when the task involves geographic or spatial data.

Search

  • [pgvector-semantic-search](references/pgvector-semantic-search.md) — Vector similarity search with pgvector: HNSW/IVFFlat indexes, halfvec storage, quantization, filtered search, and tuning. Use for embeddings, RAG, or semantic search.
  • [postgres-hybrid-text-search](references/postgres-hybrid-text-search.md) — Hybrid search combining BM25 keyword search with pgvector semantic search using RRF. Use when combining keyword and meaning-based search.

TimescaleDB

  • [setup-timescaledb-hypertables](references/setup-timescaledb-hypertables.md) — Hypertable creation, compression, retention policies, continuous aggregates, and indexes. Use when setting up TimescaleDB from scratch.
  • [find-hypertable-candidates](references/find-hypertable-candidates.md) — SQL queries to analyze existing tables and score them for hypertable conversion. Use when evaluating which tables to migrate.
  • [migrate-postgres-tables-to-hypertables](references/migrate-postgres-tables-to-hypertables.md) — Step-by-step migration: partition column selection, in-place vs blue-green, validation. Use when executing a migration.

Migrations

  • [postgres-database-migration](references/postgres-database-migration.md) — DDL lock reference, safe migration patterns, timeout strategies, rollback planning, and fork-based testing. Use when planning or executing schema changes on production databases.

How to Use

  1. Identify which reference matches the user's task from the descriptions above.
  2. Load the reference file to get detailed instructions and SQL patterns.
  3. For tasks spanning multiple areas (e.g., "design a table with vector search"), load multiple references as needed.
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pgvector-semantic-search

Use this skill for setting up vector similarity search with pgvector for AI/ML embeddings, RAG applications, or semantic search. Trigger when user asks to: - Store or search vector embeddings in PostgreSQL - Set up semantic search, similarity search, or nearest neighbor search - Create HNSW or IVFFlat indexes for vectors - Implement RAG (Retrieval Augmented Generation) with PostgreSQL - Optimize pgvector performance, recall, or memory usage - Use binary quantization for large vector datasets Keywords: pgvector, embeddings, semantic search, vector similarity, HNSW, IVFFlat, halfvec, cosine distance, nearest neighbor, RAG, LLM, AI search Covers: halfvec storage, HNSW index configuration (m, efconstruction, efsearch), quantization strategies, filtered search, bulk loading, and performance tuning.

安装量
2
GitHub Stars
1837
最近更新
9月15日
Apache-2.01 文件
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