Drive analysis-only chat with analysis.model (falling back to qa.model) so the running model matches the one the analysis capability configures, including its vision flag; RAG-bearing chats still run on qa.model. Give the AG-UI example state-bearing deps and a final STATE_SNAPSHOT so registered citations reach the client, mirroring the app backend. Update chat docs: haiku-rag chat uses --capability/-c, and drop the removed "View state" command-palette entry. |
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| .. | ||
| docker | ||
| samples | ||
| custom_agent.py | ||
| custom_agent_agui.py | ||
| README.md | ||
haiku.rag Examples
This directory contains example scripts demonstrating various features of haiku.rag.
Docker Example
Directory: docker/
Complete Docker setup for running haiku.rag with all services:
- Continuous ingestion from a watched directory via
haiku-ingester - MCP server for AI assistant integration
See docker/README.md for setup instructions.
Custom Agent
Script: custom_agent.py
Uses the eagerly loaded RAG capability to build a conversational agent.
uv run python examples/custom_agent.py /path/to/db.lancedb
Custom Agent with AG-UI Streaming
Script: custom_agent_agui.py
A Starlette app that adapts a native RAG-capable agent to AG-UI.
DB_PATH=/path/to/db.lancedb uv run uvicorn examples.custom_agent_agui:app --reload --port 8000