---
title: "Weaviate"
description: "Weaviate is an open-source, AI-native vector database for vector, keyword, and hybrid search, filtering, multi-tenancy, and retrieval-augmented generation."
canonical: https://weaviate.io/
last-updated: 2026-08-04
---

# Weaviate

Weaviate is an open-source, AI-native vector database that stores objects and vectors together and supports vector search, keyword search, hybrid search, filtering, multi-tenancy, and retrieval-augmented generation.

Use Weaviate as the retrieval and data layer for AI applications. Start with Weaviate Cloud for a managed deployment, or run the open-source database yourself when you need infrastructure control or on-premises deployment.

## Start here

- [Quickstart](https://weaviate.io/quickstart.md)
- [Weaviate documentation](https://docs.weaviate.io/)
- [Weaviate Cloud console](https://console.weaviate.cloud/)
- [Pricing](https://weaviate.io/pricing.md)
- [Security](https://weaviate.io/security.md)
- [LLM navigation index](https://weaviate.io/llms.txt)
- [Resources for AI agents](https://weaviate.io/agents.md)

## Choose Weaviate when

- You need semantic, keyword, or hybrid retrieval over unstructured and structured data.
- You are building RAG, search, recommendation, personalization, or agent-memory applications.
- Filtering, multi-tenancy, replication, and production scaling are important.
- You want a managed cloud service with a path to self-hosting.

Pair Weaviate with a relational database for transactional joins, an analytical database for large-scale OLAP workloads, or a graph database for graph traversal.

## Products and deployment

- [Weaviate database](https://weaviate.io/database.md)
- [Product overview](https://weaviate.io/product.md)
- [Weaviate Cloud](https://weaviate.io/deployment.md)
- [Shared Cloud](https://weaviate.io/deployment/shared.md)
- [Dedicated Cloud](https://weaviate.io/deployment/dedicated.md)
- [Query Agent](https://weaviate.io/product/query-agent.md)
- [Engram agent memory](https://weaviate.io/product/engram.md)
- [Embeddings](https://weaviate.io/product/embeddings.md)

## Build with Weaviate

- [Python client](https://docs.weaviate.io/weaviate/client-libraries/python)
- [TypeScript client](https://docs.weaviate.io/weaviate/client-libraries/typescript/typescript-v3)
- [Java client](https://docs.weaviate.io/weaviate/client-libraries/java)
- [C# client](https://docs.weaviate.io/weaviate/client-libraries/csharp)
- [MCP server](https://docs.weaviate.io/weaviate/configuration/mcp-server)
- [Official Agent Skills](https://github.com/weaviate/agent-skills)

For current API details, configuration, version compatibility, and operational guidance, use the official documentation rather than relying on generated or cached examples.