> ## Documentation Index
> Fetch the complete documentation index at: https://upstash-dx-3122-agent-docs.mintlify.site/llms.txt
> Use this file to discover all available pages before exploring further.

# Upstash Vector

> Serverless vector database for similarity search, RAG, and recommendations.

Upstash Vector is a serverless vector database for high-performance vector search. Use it for retrieval augmented generation (RAG), semantic search, recommendations, and classification without managing infrastructure.

## Start here

* [Getting Started](/vector/overall/getstarted): create an index and run your first query.
* [What is Upstash Vector?](/vector/overall/whatisvector)
* [Pricing & Limits](/vector/overall/pricing)

## Sections

* [Features](/vector/features/algorithm): algorithm, similarity functions, hybrid and sparse indexes, metadata, filtering, embedding models, and namespaces.
* [REST API](/vector/api/get-started)
* [SDKs](/vector/sdks/ts/getting-started): TypeScript, Python, PHP, Go, and Semantic Cache.
* [Integrations](/vector/integrations/ai-sdk): Vercel AI SDK, LangChain, LlamaIndex, and more.
* [Tutorials](/vector/tutorials/semantic_search)
* [FAQ](/vector/help/faq)

## For AI agents

* [/docs/vector/llms.txt](https://upstash.com/docs/vector/llms.txt) lists every Vector page.
* Append `.md` to any page URL for its Markdown, for example [/docs/vector/overall/getstarted.md](https://upstash.com/docs/vector/overall/getstarted.md).


## Related topics

- [Fetching Vectors](/vector/sdks/php/commands/fetch.md)
- [Langflow with Upstash Vector](/vector/integrations/langflow.md)
- [What is Upstash Vector?](/vector/overall/whatisvector.md)
- [Vector commands](/redis/commands/vector/overview.md)
- [Querying Vectors](/vector/sdks/php/commands/query.md)


This documentation is built and hosted on [Mintlify](https://mintlify.com), a developer documentation platform.