OpenAI

OpenAI Vector Stores API

Vector stores are collections of processed files that power semantic search for the file_search tool in the Responses and Assistants APIs. When you add a file to a vector store it is automatically chunked, embedded, and indexed. You can query a vector store using natural language to retrieve relevant chunks with similarity scores.

GitHub

Documentation

📖
Documentation
https://platform.openai.com/docs/api-reference/vector-stores
📖
Documentation
https://platform.openai.com/docs/guides/retrieval

API entry from apis.yml

apis.yml Raw ↑ 
aid: openai:openai-vector-stores-api
name: OpenAI Vector Stores API
tags:
- Retrieval
- Search
- Vector Stores
score: 100
baseURL: https://api.openai.com
humanURL: https://platform.openai.com/docs/api-reference/vector-stores
properties:
- url: https://platform.openai.com/docs/api-reference/vector-stores
  type: Documentation
- url: https://platform.openai.com/docs/guides/retrieval
  type: Documentation
description: Vector stores are collections of processed files that power semantic search for the file_search
  tool in the Responses and Assistants APIs. When you add a file to a vector store it is automatically
  chunked, embedded, and indexed. You can query a vector store using natural language to retrieve relevant
  chunks with similarity scores.