haiku.rag/app

haiku.rag Chat App

A conversational RAG interface built with CopilotKit and pydantic-ai's AG-UI protocol.

Prerequisites

• Docker and Docker Compose
• A haiku.rag database (created via the haiku-rag CLI)
• An LLM API key (Anthropic, OpenAI, or local Ollama)

Quick Start

1. Set up environment variables:

   cp .env.example .env
   # Edit .env with your API keys and database path
   

2. Configure the LLM and embedding models:

   cp haiku.rag.yaml.example haiku.rag.yaml
   # Edit haiku.rag.yaml to configure your models
   

3. Start the app:

   docker compose up -d
   

4. Open the chat interface: http://localhost:3000

Configuration

Environment Variables

Variable	Description	Required
DB_PATH	Path to your haiku.rag LanceDB database	Yes
ANTHROPIC_API_KEY	Anthropic API key	One LLM key required
OPENAI_API_KEY	OpenAI API key	One LLM key required
OLLAMA_BASE_URL	Ollama server URL (default: http://host.docker.internal:11434)	For local models
LOGFIRE_TOKEN	Pydantic Logfire token for debugging	No

haiku.rag.yaml

Configure the LLM, embeddings, and search settings:

qa:
  model:
    provider: anthropic  # or openai, ollama
    name: claude-sonnet-4-20250514

embeddings:
  model:
    provider: ollama
    name: nomic-embed-text

search:
  limit: 10

See haiku.rag.yaml.example for all options.

Development

For local development with hot reloading:

docker compose -f docker-compose.dev.yml up -d --build

• Backend code changes reload automatically
• Frontend available at http://localhost:3000
• Backend API at http://localhost:8001

Architecture

┌─────────────────┐     ┌─────────────────┐     ┌─────────────────┐
│    Frontend     │────▶│     Backend     │────▶│   haiku.rag     │
│  (CopilotKit)   │     │  (pydantic-ai)  │     │   (LanceDB)     │
│  localhost:3000 │     │  localhost:8001 │     │                 │
└─────────────────┘     └─────────────────┘     └─────────────────┘

Backend Endpoints

Endpoint	Method	Description
/v1/chat/stream	POST	AG-UI chat streaming
/api/documents	GET	List documents in database
/api/info	GET	Database statistics
/api/visualize/{chunk_id}	GET	Visual grounding for chunks
/health	GET	Health check

Chat Capabilities

The chat can:

• Search your documents with hybrid vector + full-text search
• Answer questions with citations from your knowledge base
• Filter by document when you ask about specific files
• Show visual grounding for PDF/image sources