a04a16c717
HAIKU_RAG_DB and DB_PATH are gone: a capability covers what the configuration places or the db_path it is given, and the app backend and the AG-UI example load their configuration as the CLI does. The compose files point HAIKU_RAG_CONFIG_PATH at the mounted haiku.rag.yaml, which places the database at /data where DB_VOLUME is mounted; the backend refuses a configured set since it serves one database. The chat scopes a selection by source only over a set and names databases on filter rows only across several. Docstrings, docs and test fixtures stop describing an unnamed database; every database a search, listing or citation reports carries a name.
33 lines
876 B
Markdown
33 lines
876 B
Markdown
# haiku.rag Examples
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This directory contains example scripts demonstrating various features of haiku.rag.
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## Docker Example
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**Directory:** `docker/`
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Complete Docker setup for running haiku.rag with all services:
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- Continuous ingestion from a watched directory via `haiku-ingester`
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- MCP server for AI assistant integration
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See `docker/README.md` for setup instructions.
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## Custom Agent
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**Script:** `custom_agent.py`
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Uses the eagerly loaded RAG capability to build a conversational agent.
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```bash
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uv run python examples/custom_agent.py /path/to/db.lancedb
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```
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## Custom Agent with AG-UI Streaming
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**Script:** `custom_agent_agui.py`
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A Starlette app that adapts a native RAG-capable agent to AG-UI. The configuration places the database (`HAIKU_RAG_CONFIG_PATH`, or `./haiku.rag.yaml`):
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```bash
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uv run uvicorn examples.custom_agent_agui:app --reload --port 8000
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```
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