Readme
Source
- Canonical Cookbook page: https://developers.openai.com/cookbook/examples/vector_databases/readme
- OpenAI Cookbook source: https://github.com/openai/openai-cookbook/blob/main/examples/vector_databases/README.md
- Raw source: https://raw.githubusercontent.com/openai/openai-cookbook/main/examples/vector_databases/README.md
- Source path:
examples/vector_databases/README.md - Source kind:
examples - Source format:
.md - License basis: OpenAI Cookbook repository MIT license.
- Content hash:
829d4cc1cc51a585fad43aa2baf47e541b85b112ae83dfb1465eb769f3b20648
Classification
- Primary category: RAG / retrieval / vector databases
- Wiki collection: 2026-05-15-openai-cookbook
- Taxonomy page: openai-cookbook-taxonomy
- Topic hub: openai-cookbook
Summary
Vector Databases This section of the OpenAI Cookbook showcases many of the vector databases available to support your semantic search use cases. Vector databases can be a great accompaniment for knowledge retrieval applications, which reduce hallucinations by providing the LLM with the relevant context to answer questions. Each provider has their own named d…
What This Teaches
- How to connect OpenAI models with retrieval, embeddings, or external knowledge stores.
Implementation Use Cases
- Use as a concrete implementation reference when building OpenAI API systems in this category.
- Compare against current official API docs before copying model names, SDK calls, or parameters into production code.
- Preserve this page as a mirrored source; prefer synthesis pages for personal recommendations or project-specific decisions.
Mirrored Content
Vector Databases
This section of the OpenAI Cookbook showcases many of the vector databases available to support your semantic search use cases.
Vector databases can be a great accompaniment for knowledge retrieval applications, which reduce hallucinations by providing the LLM with the relevant context to answer questions.
Each provider has their own named directory, with a standard notebook to introduce you to using our API with their product, and any supplementary notebooks they choose to add to showcase their functionality.