Smarter RAG agents with enriched retrieval and modular workflows

An extendable RAG template to build powerful, explainable AI assistants — with query understanding, semantic metadata, and support for free-tier tools like Gemini, Gemma and Supabase.

Description This workflow helps you build smart, production-ready RAG agents that go far beyond basic document Q&A.

It includes:

✅ File ingestion and chunking

✅ Asynchronous LLM-powered enrichment

✅ Filterable metadata-based search

✅ Gemma-based query understanding and generation

✅ Cohere re-ranking