Vector similarity search uses machine learning to translate the similarity of text, images, or audio into a vector space, making search faster, more accurate, and more scalable. Suppose you wanted to ...
What is vector search and how is it transforming the search experience? Edo Liberty, CEO of Pinecone and former head of Amazon's AI lab, explains. We’ve been talking with search industry pros and ...
Understand what it takes to rank well. Learn more about vectors and how search engines may become a hybrid of vector and keyword search. If you’ve been following the latest news in search, you’ve ...
Unlock the full InfoQ experience by logging in! Stay updated with your favorite authors and topics, engage with content, and download exclusive resources. Vivek Yadav, an engineering manager from ...
DataStax has unveiled Astra DB Hybrid Search, which utilizes NVIDIA NeMo Retriever technology to enhance retrieval-augmented generation (RAG) systems. This capability reportedly improves search ...
Tools like Semantic Kernel, TypeChat, and LangChain make it possible to build applications around generative AI technologies like Azure OpenAI. That’s because they allow you to put constraints around ...
As software systems grow increasingly complex, developers face a mounting challenge: efficiently navigating and understanding vast codebases. Although traditional code search methods like vector and ...
Unlock the full InfoQ experience by logging in! Stay updated with your favorite authors and topics, engage with content, and download exclusive resources. Vivek Yadav, an engineering manager from ...
Powered by NVIDIA NeMo Retriever Text Reranking, Astra DB Hybrid Search Delivers Smarter, More Accurate AI Responses “Retrieval is the most important part of RAG for delivering accuracy. We have heard ...
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