The Complete Working Example: Kicking Off the Workflow and the Streamlit App
~13 min read
The book's step #8 ties every prior piece together into a single running query, wrapped in a Streamlit app that surfaces citations and source insights to the end user.
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Key points
- •Step #8 kicks off the assembled workflow with a real query — the book's example shows the Tensorlake-powered RAG source ending up most relevant for its specific query
- •Even though all 4 sources are queried every time, filtering decides dynamically PER QUERY which source(s) actually dominate the final response — nothing is hard-coded
- •The book wraps the workflow in a Streamlit app that provides citations with links/metadata and insights into relevant sources, not just a raw text answer
- •Surfacing citations lets a user verify an answer's grounding directly, addressing RAG's general black-box-trust weakness
- •The book's closing caveat is the key takeaway: this is one blueprint among many — the PATTERN (multi-source retrieval, agent-based filtering, cited generation, persisted memory) is what transfers, not the exact tool list