We will discuss word embeddings this week. Word embeddings represent a fundamental shift in natural language processing (NLP), transforming words into dense vector representations that capture ...
Vector embeddings are the backbone of modern enterprise AI, powering everything from retrieval-augmented generation (RAG) to semantic search. But a new study from Google DeepMind reveals a fundamental ...
By releasing the code behind its search and vector engine under the SSPL, MongoDB is giving self‑managed users new visibility ...
Google announced a new multi-vector retrieval algorithm called MUVERA that speeds up retrieval and ranking, and improves accuracy. The algorithm can be used for search, recommender systems (like ...
MongoDB is taking a new step toward AI developers with the general availability of the Voyage 4 embedding family and ...
3Blue1Brown, a website that explains various mathematical topics in the form of videos, provides an explanation of ' Attention,' the heart of the 'Transformer' structure that shapes AI such as ChatGPT ...
Tavily and TinyFish among customers using MongoDB to build and scale AI-powered features and workloads. MongoDB, Inc. (NASDAQ: MDB) today announced an industry-first expansion of its AI capabilities ...
Amazon Web Services (AWS) has announced vector storage for its S3 cloud object storage – S3 Vectors – in a move it claims will reduce the cost of uploading, storing and querying vectorised data in AI ...
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