About

Imported from code-acezero/shadow-garden (.agents/skills/weaviate-cookbooks/SKILL.md). Install upstream with npx skills add code-acezero/shadow-garden --skill weaviate-cookbooks. Copyright stays with the author (BSD-3-Clause).

Weaviate Cookbooks

Name: weaviate-cookbooks
Author: code-acezero

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.

Before Building Any Cookbook

Follow these shared guidelines before generating any cookbook app:

Then proceed to the specific cookbook reference below.

Cookbook Index

Query Agent Chatbot: Build a full-stack chatbot using Weaviate Query Agent with streaming and chat history support.
Data Explorer: Build a full-stack data explorer app including sorting, keyword search and tabular view of weaviate data.
Multimodal RAG: Building Document Search: Build a multimodal Retrieval-Augmented Generation (RAG) system using Weaviate Embeddings (ModernVBERT/colmodernvbert) and Ollama with Qwen3-VL for generation.
Basic RAG: Implement basic retrieval and generation with Weaviate. Useful for most forms of data retrieval from a Weaviate collection.
Advanced RAG: Improve on basic RAG by adding extra features such as re-ranking, query decomposition, query re-writing, LLM filter selection.
Basic Agent: Build a tool-calling AI agent with structured outputs using DSPy. Covers AgentResponse signatures, RouterAgent, tool design, and sequential multi-step loops.
Agentic RAG: 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: Build a Next.js frontend to interact with the Weaviate backend.

Client Usage

Async Client: 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.

Use it

Copy one of these into your project. Installing also returns the manifest and these snippets.

yaml

targets:
  - https://api.opensmartroute.ai/api/v1/registry/code-acezero-shadow-garden-weaviate-cookbooks/manifest   # or paste the manifest below

Manifest

An Open Capability Manifest: the router reads it to know what this does, what it costs and when to pick it.

code-acezero-shadow-garden-weaviate-cookbooks.ocm.jsonjson

{
  "ocm": "1",
  "id": "code-acezero-shadow-garden-weaviate-cookbooks",
  "kind": "skill",
  "name": "weaviate-cookbooks",
  "description": "Build Weaviate AI apps from official cookbook blueprints for RAG, agentic RAG, data exploration, multimodal PDF search, async clients, and frontends.",
  "publisher": "code-acezero",
  "version": "1.0.0",
  "capabilities": {
    "domains": [
      "general"
    ],
    "tags": [
      "skill-md",
      "weaviate",
      "rag",
      "agents",
      "vector-database",
      "ai-apps",
      "github"
    ],
    "languages": [
      "en"
    ]
  },
  "quality_prior": 0.6,
  "examples": [
    "Build Weaviate AI apps from official cookbook blueprints for RAG, agentic RAG, data exploration, multimodal PDF search, async clients, and frontends."
  ],
  "primary": false,
  "metadata": {
    "source": {
      "provider": "github",
      "repository": "https://github.com/code-acezero/shadow-garden",
      "path": ".agents/skills/weaviate-cookbooks/SKILL.md",
      "ref": "c04fda9b4d4e0ed423001b31623caf1a23db718e",
      "url": "https://github.com/code-acezero/shadow-garden/blob/c04fda9b4d4e0ed423001b31623caf1a23db718e/.agents/skills/weaviate-cookbooks/SKILL.md",
      "key": "code-acezero/shadow-garden/.agents/skills/weaviate-cookbooks/SKILL.md"
    },
    "license": "BSD-3-Clause"
  },
  "instructions": "# Weaviate Cookbooks\n\n## Overview\n\nThis 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.\n\n## When to Use This Skill\n\n- Use when the user wants a Weaviate-backed RAG, agentic RAG, chatbot, data explorer, or multimodal document-search application.\n- Use when selecting between cookbook patterns before writing a full-stack Weaviate app.\n- Use when the project needs ",
  "cost": {
    "context_tokens": 901
  }
}

Fetch it by URL: GET /api/v1/registry/code-acezero-shadow-garden-weaviate-cookbooks/manifest?version=1.0.0

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