Qdrant Vector Database Announces Availability on Microsoft Azure to Power Enterprise AI Applications
Qdrant's open-source vector database, known for its ability to handle billions of vectors, is now integrated into the Microsoft Azure cloud ecosystem allowing businesses to leverage Qdrant's powerful ...
As developers look to harness the power of AI in their applications, one of the most exciting advancements is the ability to enrich existing databases with semantic understanding through vector search ...
If you’re building generative AI applications, you need to control the data used to generate answers to user queries. Simply dropping ChatGPT into your platform isn’t going to work, especially if ...
A monthly overview of things you need to know as an architect or aspiring architect. Unlock the full InfoQ experience by logging in! Stay updated with your favorite authors and topics, engage with ...
Vector databases power RAG, semantic search, recommendations, and memory. Learn how indexing, filtering, and hybrid retrieval ...
Vector databases enable semantic searches but might also store sensitive data. Learn how to build a vector database security ...
When Edo Liberty was completing his Ph.D. in Computer Science at Yale on random projections, he could have hardly known that a decade later it would be a fundamental component of modern AI. Liberty is ...
Qdrant, the company behind the eponymous open source vector database, has raised $28 million in a Series A round of funding led by Spark Capital. Founded in 2021, Berlin-based Qdrant is seeking to ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results