World Model · podcast knowledge graph

Is RAG Dead? Lessons from Building AI for Tax Law with Alex Bowcut - #769

2026-06-09 · 52 min · episode 769 · 14 entities

episode page audio

Asserted relationships

  • 0.68
    evidence rules-v4
    Is RAG Dead? Lessons from Building AI for Tax Law with Alex Bowcut - #769
  • → hosted by Sam Charrington person
    0.55
    evidence rules-v4
    Feed author/publisher: Sam Charrington
  • → discusses Science concept
    0.40
    evidence rules-v4
    Feed category: Science
  • → discusses Technology company
    0.40
    evidence rules-v4
    Feed category: Technology
  • → discusses News concept
    0.40
    evidence rules-v4
    Feed category: News
  • → discusses Tech News concept
    0.40
    evidence rules-v4
    Feed category: Tech News
  • → hosted by TWIML company
    0.40
    evidence rules-v4
    Feed author/publisher: TWIML

Entities found in this episode

concepts 6

  • mentioned Science concept
    0.50
    evidence rules-v4
    Feed category: Science
  • mentioned Tech News concept
    0.50
    evidence rules-v4
    Feed category: Tech News
  • discusses Science concept
    0.40
    evidence rules-v4
    Feed category: Science
  • discusses News concept
    0.40
    evidence rules-v4
    Feed category: News
  • discusses Tech News concept
    0.40
    evidence rules-v4
    Feed category: Tech News
  • mentioned RAG concept
    0.35
    evidence rules-v4
    RAG

companys 4

  • mentioned TWIML company
    0.70
    evidence rules-v4
    Feed author/publisher: TWIML
  • mentioned Technology company
    0.50
    evidence rules-v4
    Feed category: Technology
  • discusses Technology company
    0.40
    evidence rules-v4
    Feed category: Technology
  • hosted by TWIML company
    0.40
    evidence rules-v4
    Feed author/publisher: TWIML

persons 3

  • mentioned Alex Bowcut person
    0.72
    evidence rules-v4
    Is RAG Dead? Lessons from Building AI for Tax Law with Alex Bowcut - #769
  • mentioned Sam Charrington person
    0.70
    evidence rules-v4
    Feed author/publisher: Sam Charrington
  • hosted by Sam Charrington person
    0.55
    evidence rules-v4
    Feed author/publisher: Sam Charrington

podcasts 1

Episode description as stored
As context windows grow into the millions of tokens, many AI practitioners are questioning whether retrieval-augmented generation (RAG) is still necessary. If modern models can ingest entire libraries of documents, why bother with retrieval at all? In this episode, Alex Bowcut, Head of Engineering at Sphere, explains why the answer depends on the application. Sphere uses AI to automate global tax compliance—an environment where getting the answer right isn’t enough. Every conclusion must be backed by the correct legal citation, and every decision must withstand expert review. We explore how Sphere built TRAM (Tax Review and Assessment Model), a production AI system that combines retrieval, reasoning models, legal review workflows, reinforcement learning, and deterministic systems to help tax experts move nearly two orders of magnitude faster while maintaining accuracy. Along the way, we discuss why RAG remains critical in high-stakes domains, how Sphere processes legal and regulatory documents from jurisdictions around the world, retrieval architectures, semantic chunking, dense versus sparse retrieval, expert feedback loops, and the challenges of building AI systems that people can actually trust. 🗒️  Full show notes: https://twimlai.com/go/769.