Advanced Retrieval with ColPali & Qdrant Vector Database
Sabrina Aquino
·November 05, 2024
A winning combination for enterprise-scale RAG consists of a strong framework and a scalable database.
Qdrant
·April 10, 2024
Leverage Airbyte and Qdrant Hybrid Cloud for best-in-class data performance.
Qdrant
·April 10, 2024
Alfredo Deza discusses the practicality of machine learning operations, highlighting how personal interest in topics like wine datasets enhances engagement, while reflecting on the synergies between his professional sportsman discipline and the persistent, straightforward approach required for effectively educating on vector databases and large language models.
Demetrios Brinkmann
·April 09, 2024
Cheshire Cat AI's Piero Savastano and Nicola Procopio discusses the framework's vector space complexities, community growth, and future cloud-based expansions.
Demetrios Brinkmann
·April 09, 2024
Upgrade your deployments to at least v1.9.0. Cloud deployments not materially affected.
Mike Jang
·April 05, 2024
Lightweight and open-source. Custom made for RAG and completely integrated with Qdrant.
David Myriel
·April 01, 2024
Guillaume Marquis, CTO & Co-Founder at VirtualBrain, reveals the mechanics of advanced document retrieval with RAG technology, discussing the challenges of scalability, up-to-date information, and navigating user feedback to enhance the productivity of knowledge workers.
Demetrios Brinkmann
·March 27, 2024
Francesco Zuppichini outlines the process of converting YouTube video subtitles into searchable vector databases, leveraging tools like YouTube DL and Hugging Face, and addressing the challenges of coding without conventional frameworks in machine learning engineering.
Demetrios Brinkmann
·March 27, 2024
Discover the power of Qdrant on Azure Marketplace! Get started today and streamline your operations with ease.
David Myriel
·March 26, 2024