Qdrant, a leading provider of high-performance, open-source vector search, is offering a private beta of Qdrant Edge, a lightweight, embedded vector search engine designed for AI systems on devices ...

Overview RAG is transforming AI apps, and vector databases are the engine behind accurate, real-time responsesChoosing the ...

Qdrant, the open-source vector search engine built in Rust for production workloads, today announced $50 million in Series B funding led by AVP, with participation from Bosch Ventures, Unusual ...

Qdrant, the open-source vector search engine built in Rust for production workloads, announced it has secured $50 million in Series B funding will enable composable vector search as core ...

Information retrieval systems are designed to satisfy a user. To make a user happy with the quality of their recall. It’s important we understand that. Every system and its inputs and outputs are ...

Most vector search systems struggle with a basic problem: how to break complex documents into searchable pieces. The typical approach is to split text into fixed size chunks of 200 to 500 tokens, this ...

Every open source project reaches a moment where community enthusiasm meets enterprise procurement requirements, and the two do not naturally fit. For the OpenSearch Software Foundation, that moment ...