Using Unstructured for an End-to-End RAG Data Setup | Unstructured
In this session from RAG++ London, Ahmet Melek from Unstructured walks developers through the process of making data "RAG ready" (Retrieval-Augmented Generation). Learn how to efficiently extract data from multiple sources such as Slack, Notion, PDFs, and PowerPoints, and prepare it for use in large language models (LLMs).
Ahmet discusses the challenges of parsing unstructured data locked behind different formats and the innovative strategies Unstructured offers, such as their high-res and fast parsing options. He also demonstrates how to use Unstructured’s tools for data chunking, embedding, and uploading to various destinations like Astra DB.
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➡️DataStax is the company that helps Developers and Companies successfully create a bold new world through GenAI. We offer a One-stop Generative AI Stack with everything needed for a faster, easier, path to production for relevant and responsive GenAI apps.
➡️DataStax delivers a RAG-first developer experience, with first-class integrations into leading AI ecosystem partners, so we work out with developers’ existing stacks of choice.
➡️With DataStax, anyone can quickly build smart, high-growth AI applications at unlimited scale, on any cloud. Hundreds of the world’s leading enterprises, including Audi, Bud Financial, Capital One, SkyPoint Cloud, and many more rely on DataStax.
✅ Sign up to try DataStax Astra DB https://dtsx.io/3W4My1H
About DataStax Developer:
On the DataStax Developers YouTube channel, you can find tutorials, workshops and much more to help you learn and stay updated with the latest information on Apache Cassandra©. Visit https://datastax.com/dev for more free learning resources.
Видео Using Unstructured for an End-to-End RAG Data Setup | Unstructured канала DataStax Developers
Ahmet discusses the challenges of parsing unstructured data locked behind different formats and the innovative strategies Unstructured offers, such as their high-res and fast parsing options. He also demonstrates how to use Unstructured’s tools for data chunking, embedding, and uploading to various destinations like Astra DB.
CONNECT WITH DATASTAX
Subscribe: http://www.youtube.com/c/datastaxdevs...
Twitter: / datastaxdevs
Twitch: / datastaxdevs
ABOUT DATASTAX
➡️DataStax is the company that helps Developers and Companies successfully create a bold new world through GenAI. We offer a One-stop Generative AI Stack with everything needed for a faster, easier, path to production for relevant and responsive GenAI apps.
➡️DataStax delivers a RAG-first developer experience, with first-class integrations into leading AI ecosystem partners, so we work out with developers’ existing stacks of choice.
➡️With DataStax, anyone can quickly build smart, high-growth AI applications at unlimited scale, on any cloud. Hundreds of the world’s leading enterprises, including Audi, Bud Financial, Capital One, SkyPoint Cloud, and many more rely on DataStax.
✅ Sign up to try DataStax Astra DB https://dtsx.io/3W4My1H
About DataStax Developer:
On the DataStax Developers YouTube channel, you can find tutorials, workshops and much more to help you learn and stay updated with the latest information on Apache Cassandra©. Visit https://datastax.com/dev for more free learning resources.
Видео Using Unstructured for an End-to-End RAG Data Setup | Unstructured канала DataStax Developers
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