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Write, Change, Recall, Forget: MongoDB's Pete Johnson on How Retrieval Drives Agent Performance

2026-09-01 · 97 min · 22 entities

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Asserted relationships

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    Feed author/publisher: Turpentine
  • → references aipodcast.ing website
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    Link in episode "Write, Change, Recall, Forget: MongoDB's Pete Johnson on How Retrieval Drives Agent Performance": https://aipodcast.ing/
  • → references mercury.com website
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    Link in episode "Write, Change, Recall, Forget: MongoDB's Pete Johnson on How Retrieval Drives Agent Performance": https://mercury.com/
  • → references Keep Talking person
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    evidence rules-v4
    Link in episode "Write, Change, Recall, Forget: MongoDB's Pete Johnson on How Retrieval Drives Agent Performance": https://deepgram.com/keep-talking

Entities found in this episode

concepts 9

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    Feed category: Society & Culture
  • mentioned Technology concept
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    Feed category: Technology
  • mentioned Business concept
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    Feed category: Business
  • mentioned Entrepreneurship concept
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    Feed category: Entrepreneurship
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    evidence rules-v4
    Write, Change, Recall, Forget: MongoDB's Pete Johnson on How Retrieval Drives Agent Performance
  • discusses Society & Culture concept
    0.40
    evidence rules-v4
    Feed category: Society & Culture
  • discusses Technology concept
    0.40
    evidence rules-v4
    Feed category: Technology
  • discusses Business concept
    0.40
    evidence rules-v4
    Feed category: Business
  • discusses Entrepreneurship concept
    0.40
    evidence rules-v4
    Feed category: Entrepreneurship

companys 5

  • mentioned Turpentine company
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    evidence rules-v4
    Feed author/publisher: Turpentine
  • mentioned AI company
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    CTO of AI
  • works at AI company
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    evidence rules-v4
    CTO of AI
  • works at AI company
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    evidence rules-v4
    CTO of AI
  • hosted by Turpentine company
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    evidence rules-v4
    Feed author/publisher: Turpentine

persons 4

  • 0.70
    evidence rules-v4
    Feed author/publisher: Erik Torenberg, Nathan Labenz
  • 0.55
    evidence rules-v4
    Feed author/publisher: Erik Torenberg, Nathan Labenz
  • mentioned Keep Talking person
    0.45
    evidence rules-v4
    Link in episode "Write, Change, Recall, Forget: MongoDB's Pete Johnson on How Retrieval Drives Agent Performance": https://deepgram.com/keep-talking
  • references Keep Talking person
    0.38
    evidence rules-v4
    Link in episode "Write, Change, Recall, Forget: MongoDB's Pete Johnson on How Retrieval Drives Agent Performance": https://deepgram.com/keep-talking

websites 4

  • mentioned aipodcast.ing website
    0.45
    evidence rules-v4
    Link in episode "Write, Change, Recall, Forget: MongoDB's Pete Johnson on How Retrieval Drives Agent Performance": https://aipodcast.ing/
  • mentioned mercury.com website
    0.45
    evidence rules-v4
    Link in episode "Write, Change, Recall, Forget: MongoDB's Pete Johnson on How Retrieval Drives Agent Performance": https://mercury.com/
  • references aipodcast.ing website
    0.38
    evidence rules-v4
    Link in episode "Write, Change, Recall, Forget: MongoDB's Pete Johnson on How Retrieval Drives Agent Performance": https://aipodcast.ing/
  • references mercury.com website
    0.38
    evidence rules-v4
    Link in episode "Write, Change, Recall, Forget: MongoDB's Pete Johnson on How Retrieval Drives Agent Performance": https://mercury.com/
Episode description as stored
Nathan's guest this episode is Pete Johnson, Field CTO of AI at MongoDB, and the conversation is really two conversations woven together: a history of database architecture, and a status report on the still-unsolved problem of agent memory. Pete opens with a framing device that recurs throughout — he was born in February 1970, four months before E.F. Codd's original relational-model paper that gave rise to SQL. The relational model, he explains, was built for a world where storage was the scarce resource, so normalization — splitting data across linked tables to avoid duplication — was the rational design choice. For full show notes, links, and references, read the episode page:https://www.cognitiverevolution.ai/write-change-recall-forget-mongodb-s-pete-johnson-on-how-retrieval-drives-agent-performance/ Sponsors: Mercury: Mercury is the banking platform loved by 300,000+ entrepreneurs, with virtual cards and Spend controls for granular budgets, receipts, and low-risk AI agent purchases. Learn more and apply in minutes at https://mercury.com Granola: Granola is an AI-powered notepad that securely transcribes meetings and turns rough notes into clean, structured action items. Try it free at https://granola.ai/tcr Diffusion: Diffusion helps organizations build custom AI software factories that scale business outcomes, not just outputs. Cognitive Revolution listeners get a 25% service credit on their first engagement at https://diffusion.io/tcr Deepgram Flux TTS: Deepgram Flux TTS brings lifelike AI voices with real personalities that handle interruptions, pauses, and natural conversation. Try all the voices free through September 12 at https://deepgram.com/keep-talking Claude: Claude is the AI collaborator for problem solvers, helping with writing, coding, financial models, strategy, and more. Get started with Claude and explore Claude Pro at https://claude.ai/tcr CHAPTERS: (00:00) About the Episode (03:15) Sponsor: Mercury (04:56) SQL versus NoSQL (11:24) Enterprise database choices (Part 1) (18:30) Sponsors: Granola | Diffusion (21:27) Enterprise database choices (Part 2) (21:27) Schema flexible search (33:50) Contextualized chunking tradeoffs (Part 1) (35:12) Sponsors: Deepgram Flux TTS | Claude (37:17) Contextualized chunking tradeoffs (Part 2) (46:22) Retrieval quality thresholds (53:17) Agent memory systems (01:05:51) Enterprise AI deployment (01:16:32) Voyage acquisition strategy (01:23:38) Global AI adoption (01:30:56) Episode Outro (01:34:41) Outro PRODUCED BY: https://aipodcast.ing