---
schema: 1
type: video
title: >-
  When All Context Matters: Extended Cache Augmented Generation - Luis
  Romero-Sevilla, Orbis
description: >-
  This session addresses a critical challenge in knowledge representation:
  extracting accurate answers from a rapidly changing dataset where every
  document is highly interconnected and relevant. Explore the limitations of
  standard retrieval methods for dynamic, high-context scenarios—including the
  constraints of Simple RAG and the computational bottlenecks of constantly
  recomputing a GraphRAG. To overcome these hurdles, this talk introduces a
  novel solution: Extended Cache Augmented Generation (ECAG). Speakers: - Luis
  Romero-Sevilla (Orbis Operations): Luis Romero-Sevilla is an AI strategist and
  full-stack software engineer with over 13 years of experience driving
  mission-critical technological innovation across defense, healthcare, and the
  public sector, currently serving as the Vice President of AI at Orbis
  Operations. X/Twitter: https://x.com/lurose15 LinkedIn:
  https://www.linkedin.com/in/luis-romero-sevilla/ GitHub:
  https://github.com/lurose5
canonical: 'https://liquidgold.cc/watch/XovaGv4f39A'
markdown: 'https://liquidgold.cc/watch/XovaGv4f39A.md'
llms: 'https://liquidgold.cc/watch/XovaGv4f39A/llms.txt'
parent: 'https://liquidgold.cc/channel/aidotengineer.md'
channel: aidotengineer
updated: '2026-10-24T09:09:03.388Z'
language: null
children: []
videoId: XovaGv4f39A
durationSeconds: 352
publishedAt: '2026-06-28T20:00:11.000Z'
searchChunks:
  - ordinal: 0
    text: null
    startSeconds: 10
    endSeconds: 22
    watch: 'https://liquidgold.cc/watch/XovaGv4f39A?t=10'
    heldReason: rights
  - ordinal: 1
    text: null
    startSeconds: 22
    endSeconds: 101
    watch: 'https://liquidgold.cc/watch/XovaGv4f39A?t=22'
    heldReason: rights
  - ordinal: 2
    text: null
    startSeconds: 22
    endSeconds: 101
    watch: 'https://liquidgold.cc/watch/XovaGv4f39A?t=22'
    heldReason: rights
  - ordinal: 3
    text: null
    startSeconds: 111
    endSeconds: 234
    watch: 'https://liquidgold.cc/watch/XovaGv4f39A?t=111'
    heldReason: rights
  - ordinal: 4
    text: null
    startSeconds: 111
    endSeconds: 234
    watch: 'https://liquidgold.cc/watch/XovaGv4f39A?t=111'
    heldReason: rights
  - ordinal: 5
    text: null
    startSeconds: 111
    endSeconds: 234
    watch: 'https://liquidgold.cc/watch/XovaGv4f39A?t=111'
    heldReason: rights
  - ordinal: 6
    text: null
    startSeconds: 111
    endSeconds: 234
    watch: 'https://liquidgold.cc/watch/XovaGv4f39A?t=111'
    heldReason: rights
  - ordinal: 7
    text: null
    startSeconds: 234
    endSeconds: 245
    watch: 'https://liquidgold.cc/watch/XovaGv4f39A?t=234'
    heldReason: rights
  - ordinal: 8
    text: null
    startSeconds: 245
    endSeconds: 352
    watch: 'https://liquidgold.cc/watch/XovaGv4f39A?t=245'
    heldReason: rights
  - ordinal: 9
    text: null
    startSeconds: 245
    endSeconds: 352
    watch: 'https://liquidgold.cc/watch/XovaGv4f39A?t=245'
    heldReason: rights
  - ordinal: 10
    text: null
    startSeconds: 245
    endSeconds: 352
    watch: 'https://liquidgold.cc/watch/XovaGv4f39A?t=245'
    heldReason: rights
  - ordinal: 11
    text: null
    startSeconds: 245
    endSeconds: 352
    watch: 'https://liquidgold.cc/watch/XovaGv4f39A?t=245'
    heldReason: rights
  - ordinal: 12
    text: null
    startSeconds: 245
    endSeconds: 352
    watch: 'https://liquidgold.cc/watch/XovaGv4f39A?t=245'
    heldReason: rights
---


# When All Context Matters: Extended Cache Augmented Generation - Luis Romero-Sevilla, Orbis

This session addresses a critical challenge in knowledge representation: extracting accurate answers from a rapidly changing dataset where every document is highly interconnected and relevant. Explore the limitations of standard retrieval methods for dynamic, high-context scenarios—including the constraints of Simple RAG and the computational bottlenecks of constantly recomputing a GraphRAG. To overcome these hurdles, this talk introduces a novel solution: Extended Cache Augmented Generation (ECAG). Speakers: - Luis Romero-Sevilla (Orbis Operations): Luis Romero-Sevilla is an AI strategist and full-stack software engineer with over 13 years of experience driving mission-critical technological innovation across defense, healthcare, and the public sector, currently serving as the Vice President of AI at Orbis Operations. X/Twitter: https://x.com/lurose15 LinkedIn: https://www.linkedin.com/in/luis-romero-sevilla/ GitHub: https://github.com/lurose5

Canonical: https://liquidgold.cc/watch/XovaGv4f39A · Channel: [AI Engineer](https://liquidgold.cc/channel/aidotengineer.md)

> Search chunk text is held until public-source provenance is verified.

## Document chunks

> Missing: no stored document chunks are available.
