weaviate.io site index (markdown)
Markdown overview of weaviate.io with links to the markdown version of each main page: quickstart, product, deployment, pricing, security, and learning resources.
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title: Weaviatedescription: 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: 2026-08-25
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# 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) - [Authentication guide](https://weaviate.io/auth.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.
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text/markdownlast seen 2026-10-04
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