astronomer/ask-astro

An end-to-end LLM reference implementation providing a Q&A interface for Airflow and Astronomer

50
/ 100
Established

Implements Retrieval Augmented Generation (RAG) with Airflow DAGs that ingest data from eight sources into Weaviate, then uses LangChain's ConversationalRetrievalChain with prompt rewording, document reranking, and relevancy filtering to generate responses. Includes automated feedback loops where user ratings and LLM-generated quality scores continuously improve the knowledge base, plus a Slack bot and public UI for access.

280 stars. No commits in the last 6 months.

Stale 6m No Package No Dependents
Maintenance 2 / 25
Adoption 10 / 25
Maturity 16 / 25
Community 22 / 25

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Stars

280

Forks

62

Language

Python

License

Apache-2.0

Category

rag-qa-systems

Last pushed

Jul 15, 2025

Commits (30d)

0

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