# Weaviate Cookbooks

> Build Weaviate AI apps from official cookbook blueprints for RAG, agentic RAG, data exploration, multimodal PDF search, async clients, and frontends.

- Skill: `thedixitjain/weaviate-cookbooks` (Agent Skill, multi-file: 12 files)
- Install (CLI): `npx skillmds add thedixitjain/weaviate-cookbooks`
- Raw SKILL.md: https://api.skillmd.com/api/skills/thedixitjain/weaviate-cookbooks/raw
- Safety review: pending
- Works with: Claude Code, Claude.ai, OpenAI Codex
- Category: AI & ML
- Author: thedixitjain (https://skillmd.com/u/thedixitjain)
- Updated: 2026-09-08
- Page: https://skillmd.com/skills/thedixitjain/weaviate-cookbooks

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# Weaviate Cookbooks

## Overview

This skill provides an index of implementation guides and foundational requirements for building Weaviate-powered AI applications. Use the references to quickly scaffold full-stack applications with best practices for connection management, environment setup, and application architecture.

## When to Use This Skill

- Use when the user wants a Weaviate-backed RAG, agentic RAG, chatbot, data explorer, or multimodal document-search application.
- Use when selecting between cookbook patterns before writing a full-stack Weaviate app.
- Use when the project needs Weaviate environment, setup, async-client, or frontend guidance.
- Use when the user asks for an official Weaviate blueprint rather than a generic vector database recipe.

### Weaviate Cloud Instance

If the user does not have an instance yet, direct them to the cloud console to register and create a free sandbox. Create a Weaviate instance via [Weaviate Cloud](https://console.weaviate.cloud/signin?utm_source=github&utm_campaign=agent_skills).

## Before Building Any Cookbook

Follow these shared guidelines before generating any cookbook app:

- [Project Setup Contract](references/project_setup.md)
- [Environment Requirements](references/environment_requirements.md)

Then proceed to the specific cookbook reference below.

## Cookbook Index

- [Query Agent Chatbot](references/query_agent_chatbot.md): Build a full-stack chatbot using Weaviate Query Agent with streaming and chat history support.
- [Data Explorer](references/data_explorer.md): Build a full-stack data explorer app including sorting, keyword search and tabular view of weaviate data.
- [Multimodal RAG: Building Document Search](references/pdf_multimodal_rag.md): Build a multimodal Retrieval-Augmented Generation (RAG) system using Weaviate Embeddings (ModernVBERT/colmodernvbert) and Ollama with Qwen3-VL for generation.
- [Basic RAG](references/basic_rag.md): Implement basic retrieval and generation with Weaviate. Useful for most forms of data retrieval from a Weaviate collection.
- [Advanced RAG](references/advanced_rag.md): Improve on basic RAG by adding extra features such as re-ranking, query decomposition, query re-writing, LLM filter selection.
- [Basic Agent](references/basic_agent.md): Build a tool-calling AI agent with structured outputs using DSPy. Covers AgentResponse signatures, RouterAgent, tool design, and sequential multi-step loops.
- [Agentic RAG](references/agentic_rag.md): Build RAG-powered AI agents with Weaviate. Covers naive RAG tools, hierarchical RAG with LLM-created filters, vector DB memory, Weaviate Query Agent, and Elysia integration.

## Interface (Optional)

Use this when the user explicitly asks for a frontend for their Weaviate backend.

- [Frontend Interface](references/frontend_interface.md): Build a Next.js frontend to interact with the Weaviate backend.

## Client Usage

- [Async Client](references/async_client.md): Guide for using the Weaviate Python async client in production applications (FastAPI, async frameworks). Covers connection patterns, lifecycle management, common pitfalls, and multi-cluster setups.

## Limitations

- Cookbook blueprints still need adaptation to the user's data model, embedding provider, auth model, deployment platform, and latency/cost targets.
- This skill does not validate live Weaviate credentials, cloud quotas, or model availability unless the user provides and approves the relevant environment.
- Generated apps should be reviewed for security, data privacy, prompt injection exposure, and production observability before launch.

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**Source:** [`sickn33/agentic-awesome-skills`](https://github.com/sickn33/agentic-awesome-skills) → `skills/weaviate-cookbooks/SKILL.md`

**Also appears in:** `sickn33/agentic-awesome-skills/plugins/agentic-awesome-skills/skills/weaviate-cookbooks/SKILL.md`, `sickn33/agentic-awesome-skills/plugins/agentic-awesome-skills-claude/skills/weaviate-cookbooks/SKILL.md`