The folks over at Microsoft Bing put together a blog post explaining the differences between indexing for Search versus indexing for Grounding (AI responses) and the differences. Krishna Madhavan, ...

Abstract: With the rise of machine learning models, particularly generative models like sequence-to-vector models, there is a high demand for constructing efficient approximate nearest neighbor search ...

What's the role of vector databases in the agentic AI world? That's a question that organizations have been coming to terms with in recent months. The narrative had real momentum. As large language ...

Open-source vector search 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. AVP ...

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A new open-source framework called PageIndex solves one of the old problems of retrieval-augmented generation (RAG): handling very long documents. The classic RAG workflow (chunk documents, calculate ...

Microsoft used Ignite 2025 to push Azure Cosmos DB further into AI search and agentic workflows, highlighting new capabilities aimed at developers building retrieval-heavy applications and multi-agent ...

NOTE: This article was published yesterday (30/10/2025), but due to some technical issues it went offline. Microsoft has officially added Python 3.14 to Azure App Service for Linux. Developers can now ...

With vector search now available in Enterprise Server and Community Edition, enterprises can streamline AI development and reduce operational overhead by avoiding fragmented stacks and external search ...

# For example, AI Search index may contain the following document: # Emily and David, two passionate scientists, met during a research expedition to Antarctica. # Bonded by their love for the natural ...