Databricks has released KARL, an RL-trained RAG agent that it says handles all six enterprise search categories at 33% lower ...
Qdrant's $50M Series B and version 1.17 release make the case that agentic AI didn't simplify vector search — it scaled the ...
Qdrant develops a vector search engine designed for production AI systems, enabling teams to configure retrieval, ranking, ...
Open-source vector database startup Qdrant Solutions GmbH today announced it has raised $50 million in early-stage funding to pave the way for smarter and more reactive artificial intelligence apps.
Choosing RAG or long context depends on dataset size, with RAG suited to dynamic knowledge bases and long context best for bounded files.
Elastic 9.3.0 is now available, featuring enhanced vector search indexing for RAG applications and significant upgrades to ...
Building an open-source data lakehouse costs $520K/year in engineering time, before licenses and infra. The real all-in cost ...
Design intelligent AI agents with retrieval-augmented generation, memory components, and graph-based context integration.
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