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E134: Making Complex Data RAG-Ready with Unstructured

37:06
 
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Manage episode 419254582 series 3438596
内容由Robby (MTF); Tim (Essence VC)提供。所有播客内容(包括剧集、图形和播客描述)均由 Robby (MTF); Tim (Essence VC) 或其播客平台合作伙伴直接上传和提供。如果您认为有人在未经您许可的情况下使用您的受版权保护的作品,您可以按照此处概述的流程进行操作https://zh.player.fm/legal

Brian Raymond is Founder & CEO of Unstructured, the platform to extract and transform complex data for use with every major vector database and LLM framework. Their open source project has 7K stars on GitHub and includes libraries and APIs that let users build custom preprocessing pipelines for labeling, training, and production machine learning pipelines. Today, they have over 6M downloads and 50K companies using their tools.

Unstructured has raised $65M from investors including Bain, Essence VC, and Menlo Ventures.

In this episode, we dig into Brian's process of talking to 100 data scientists before launching Unstructured, why the long tail of data matters for LLMs, competing with their own open source, why being a "boring company" is valuable for today's LLM stack, why they liked having government design partners, why world-class design & marketing are huge differentiators for open source companies & more!

  continue reading

152集单集

Artwork
icon分享
 
Manage episode 419254582 series 3438596
内容由Robby (MTF); Tim (Essence VC)提供。所有播客内容(包括剧集、图形和播客描述)均由 Robby (MTF); Tim (Essence VC) 或其播客平台合作伙伴直接上传和提供。如果您认为有人在未经您许可的情况下使用您的受版权保护的作品,您可以按照此处概述的流程进行操作https://zh.player.fm/legal

Brian Raymond is Founder & CEO of Unstructured, the platform to extract and transform complex data for use with every major vector database and LLM framework. Their open source project has 7K stars on GitHub and includes libraries and APIs that let users build custom preprocessing pipelines for labeling, training, and production machine learning pipelines. Today, they have over 6M downloads and 50K companies using their tools.

Unstructured has raised $65M from investors including Bain, Essence VC, and Menlo Ventures.

In this episode, we dig into Brian's process of talking to 100 data scientists before launching Unstructured, why the long tail of data matters for LLMs, competing with their own open source, why being a "boring company" is valuable for today's LLM stack, why they liked having government design partners, why world-class design & marketing are huge differentiators for open source companies & more!

  continue reading

152集单集

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