pgvector-similarity-search
pgvector Similarity Search
Query vector embeddings using pgvector's similarity operators. This skill covers the retrieval phase of RAG pipelines.
When to Apply
Use this skill when:
- Finding semantically similar documents or chunks
- Implementing the retrieval step of RAG
- Building semantic search features
- Querying embeddings stored in PostgreSQL
Distance Operators
pgvector supports three distance metrics:
| Operator | Distance Type | Use Case |
|---|---|---|
<=> |
Cosine distance | Most common, normalized vectors |
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