We've all done RAG, now what?

Summary of We've all done RAG, now what?

by Practical AI LLC

43m•September 29, 2025
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Summary — "We've all done RAG, now what?" — Practical AI Podcast

Overview

This episode of the Practical AI Podcast is an introductory segment featuring the host(s) and guest Rajiv Shah (Chief Evangelist, Contextual AI). The short transcript provided contains episode opening remarks, guest introduction, and promotion for the upcoming Midwest AI Summit (Nov 13, Indianapolis). The bulk of the transcript appears to be filler/repeated phrases and does not include the main interview or substantive discussion.

What the provided transcript contains

  • Podcast intro describing Practical AI's aim: practical real-world AI applications.
  • Guest introduction: Rajiv Shah (Contextual AI).
  • Announcement/promotion: Midwest AI Summit on November 13 in Indianapolis.
  • Repeated expressions of enthusiasm from the guest/hosts ("I think it's great to be here.").

Because the transcript ends before any detailed conversation, the episode’s substantive points about the title topic ("We've all done RAG, now what?") are not present in the supplied text.

Key points / main takeaways (from available content)

  • Rajiv Shah is the featured guest; he is associated with Contextual AI as Chief Evangelist.
  • Practical AI encourages connecting with them on LinkedIn, X, or BlueSky for updates.
  • Practical AI hosts (and Rajiv) will appear at the Midwest AI Summit (Nov 13, Indianapolis) — recommended for local AI enthusiasts.

Note: No technical discussion of RAG (retrieval-augmented generation) or "what's next" after RAG is included in the transcript fragment provided.

Topics mentioned

  • Podcast mission / audience (developers, business leaders, curious listeners).
  • Guest and host introductions.
  • Midwest AI Summit (event logistics and invitation).

Notable quotes

  • "If you live anywhere near corn and you like AI, then... this is the place to be." — casual promo for the Midwest AI Summit.
  • Repeated: "I think it's great to be here." — guest enthusiasm.

Action items / recommendations

  • Listen to the full episode (or obtain the complete transcript) to hear the substantive discussion about RAG and post-RAG strategies — the main content is missing from this excerpt.
  • Follow Practical AI and Rajiv Shah on LinkedIn / X / BlueSky for episode updates and event info.
  • Consider attending the Midwest AI Summit on Nov 13 (Indianapolis) if you're local and interested in AI.
  • If your goal is to learn "what comes after RAG," recommended resources to explore while you locate the full episode:
    • Intro to Retrieval-Augmented Generation (RAG) primers/articles
    • Best practices for productionizing RAG (prompt design, retrieval quality, vector DBs)
    • Evaluation and guardrails for RAG-based systems (factuality checks, hallucination mitigation)
    • Community talks/blogs from Contextual AI or Practical AI for applied examples

If you can provide the remainder of the transcript or a longer excerpt, I’ll produce a full, topic-focused summary covering the substantive points about RAG and next steps.