Demo Fixie Weaviate
Description
How to build an agent that integrates with weaviate
Installation
This entry records only its repository, not the path inside it, so there is no
exact command to give. Open the source below and copy the folder into
~/.claude/skills/, or the file into ~/.claude/agents/.
README
Introduction
This is a simple demo of building a [Fixie](https://www.fixie.ai/) Agent that can answer questions about documents stored in Weaviate.
It takes a query in natural language, uses an LLM to convert it to a Weaviate graphql query, and then sends it to Weaviate for execution.
Setup
See the data notebook on how to load some data into Weaviate.
Deployment
Deploy the natural-to-weaviate-get agent
cdto/natural-to-weaviate-get- Run
fixie agent deploy
Deploy the search-weaviate agent
cdto/search-weaviate- Update the env vars in
.envwith your own Weaviate url and OpenAI api key - Run
fixie agent deploy
Demo
Talking to the `search-weaviate` agent:

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**Generated:** 2026-04-11