Chroma and Agentic Retrieval
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Chroma and Agentic Retrieval

B2Upper-intermediateSeptember 24, 202652 min
  • Interview
  • Technology

Data retrieval is a fundamental challenge in AI systems, and the approaches for solving it are still evolving. Vector search was an early answer to the retrieval problem, but the rise of agentic systems has raised the stakes considerably. Agents issue queries at machine speed, decompose complex questions into parallel searches, and require retrieval infrastructure that can keep pace without becoming prohibitively expensive. Chroma is a company building open source infrastructure for AI applications, best known for its widely used database of the same name. The company also published the influential Context Rot paper, which documented how m...

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Curiosity, great communication skills, and a genuine interest in the craft of building software are what matter most. If this sounds like you, reach out at editor at softwareengineeringdaily.com. Data retrieval is a fundamental challenge in AI systems, and the approaches for solving it are still evolving. Vector search was an early answer to the retrieval problem, but the rise of agentic

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systems has raised the stakes considerably. Agents issue queries at machine speed, decompose complex questions into parallel searches and require retrieval infrastructure that can keep pace without becoming prohibitively expensive. Chroma is a company building open source infrastructure for AI applications, best known for its widely

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