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openai · OpenAI Platform Docs

Retrieval

Teaches how to implement semantic search using the Retrieval API, including creating vector stores, uploading files, performing queries, applying query rewriting, and using attribute filtering.

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Viewing SKILL.md

Retrieval

Teaches how to implement semantic search using the Retrieval API, including creating vector stores, uploading files, performing queries, applying query rewriting, and using attribute filtering.

When To Use

Use when you need to implement semantic search over custom datasets, manage vector stores, or optimize search relevance through query rewriting and attribute filtering.

Reference Files

FileContainsUse For
SKILL.mdEntry point: scope, routing table, and workflow.Start here.
docs/retrieval-workflow-guide.mdA guide explaining how to use the OpenAI Retrieval API to perform semantic search and query rewriting over custom data.Questions about a guide explaining how to use the OpenAI Retrieval API to perform semantic search and query rewriting over custom data.

What This Skill Covers

  • The Retrieval API allows you to perform semantic search over your data, which is a technique that surfaces semantically similar results — even when they matc...
  • Main sections: Quickstart, Semantic search, Performing semantic search, Query rewriting, Attribute filtering.

Workflow

  1. Open the most relevant file under docs/ for the exact documented workflow and wording.
  2. Open schemas/ files for exact structured contracts.
  3. Open examples/ files for concrete requests, commands, snippets, and manifests.
  4. Do not add behavior or configuration that is not present in the attached source files.

Canonical source: https://developers.openai.com/api/docs/guides/retrieval.md