Piotr Prussak’s Post

Excited to open source Unity Catalog. The key part of this catalog is that it provides metadata to not just structured data, but unstructured data as well as other assets such as AI models. It also fully supports and implements the popular Hive Metastore API and the Iceberg REST API.

In the era of #GenAI, proprietary data is more than just an asset—it's a strategic game-changer for businesses. Discover how MongoDB and Cohere's integration capitalizes on the value of frontier generation, embedding and rerank models with advanced retrieval for Enterprise AI. 👇 https://lnkd.in/gCFaHb2k

Excited to open source Unity Catalog. The key part of this catalog is that it provides metadata to not just structured data, but unstructured data as well as other assets such as AI models. It also fully supports and implements the popular Hive Metastore API and the Iceberg REST API.

Excited to open source Unity Catalog. The key part of this catalog is that it provides metadata to not just structured data, but unstructured data as well as other assets such as AI models. It also fully supports and implements the popular Hive Metastore API and the Iceberg REST API.

Excited to open source Unity Catalog. The key part of this catalog is that it provides metadata to not just structured data, but unstructured data as well as other assets such as AI models. It also fully supports and implements the popular Hive Metastore API and the Iceberg REST API.

Everyone is trying to figure out how to get the most out of generative AI. Here's a decision I made, and one I'm confident in passing along. We became customers of DataStax and LlamaIndex. Why? They're both leaders in their respective categories, and now offer an integrated solution. - LlamaIndex lets you import your documents (.pdf, .docx, and hundreds more) into a format that is optimized for Generative AI. DataStax provides a database that is optimized for Generative AI, and now they're offering an out-of-the-box solution that instantly connects to LlamaIndex. Together, they've created a convenient on-ramp to make your unstructured business data available to your workforce. - Now, Imprompt's Chat Assistant customers can add files to their workspace and use them in all your prompts. Together with our partners, we take care of the dirty work: parsing documents, creating embeddings, and batch loading them into vector databases. This is a key pillar to our solution; we welcome DataStax and LlamaIndex to our solution offering! See the announcement for the details. https://lnkd.in/gfAMXF3m