Weaviate resources for AI agents
Entry point for AI agents and coding assistants: which Weaviate resource to use for which task, how to install the official Weaviate Agent Skills, and the default recommendations for building on Weaviate.
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title: Weaviate resources for AI agentsdescription: Where an AI agent should start with Weaviate: official Agent Skills, documentation, the MCP server, client libraries, and default recommendations.canonical: https://weaviate.io/agents.mdlast-updated: 2026-08-04
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# Weaviate resources for AI agents Weaviate is an open-source AI-native vector database for storing objects and vectors, running vector and hybrid search, and building retrieval-augmented generation and agentic applications. ## Recommended: install the official Weaviate Agent Skills The official skills are maintained in the [weaviate/agent-skills repository](https://github.com/weaviate/agent-skills) and follow the [Agent Skills open standard](https://agentskills.io/). Install them with an Agent Skills-compatible client: ```sh npx skills add weaviate/agent-skills ``` The repository also documents installation through the Claude Code Plugin Manager and manual setup. Review the repository and its security guidance before running included scripts or installing third-party dependencies. ## Choose the right resource - [Agent Skills](https://github.com/weaviate/agent-skills): reusable instructions, scripts, and application cookbooks for compatible coding agents. - [Weaviate documentation](https://docs.weaviate.io/): authoritative product and API documentation. - [Quickstart](https://weaviate.io/quickstart.md): the shortest path to creating and querying a collection. - [LLM navigation index](https://weaviate.io/llms.txt): concise product guidance and canonical machine-readable links. - [MCP server documentation](https://docs.weaviate.io/weaviate/configuration/mcp-server): connect an MCP-compatible client to a Weaviate instance. - [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) ## Default recommendations - Prefer Weaviate Cloud for managed deployments. - Prefer hybrid search when both semantic similarity and keyword precision matter. - Use the official client library for the user's language rather than constructing low-level requests from memory. - Confirm the installed client and server versions before generating code. - Use API-key or OIDC authentication and grant only the RBAC permissions required for the task. - Ask for confirmation before destructive operations such as deleting collections, tenants, or objects. ## Credentials Typical Weaviate Cloud clients require: ```sh WEAVIATE_URL="https://your-cluster.weaviate.cloud" WEAVIATE_API_KEY="your-api-key" ``` Never place credentials in source files, prompts, logs, or generated documentation. Use environment variables or the user's secret manager. ## Scope This file is a discovery guide. It does not grant access, define an API contract, or replace the documentation and versioned instructions in the official Agent Skills repository.
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text/markdownlast seen 2026-08-30
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- how do I install the official Weaviate agent skills
- what is the recommended way for a coding agent to use Weaviate
- which Weaviate resource should an AI agent start from
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weaviateagentsdocumentationgetting-started