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SingleStore Announces Real-time Data Platform to Further Accelerate AI, Analytics and Application Development

SingleStore Announces Real-time Data Platform to Further Accelerate AI, Analytics and Application Development
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United States , Noel Yuhanna , Nadeem Asghar , Gpus Cpus , Jessica Rampen , Raj Verma , Singlestore Kai , Matt Newman , Principal Analyst At Forrester Research , Infoworld Technology , Singlestore Pro Max , Principal Data Architect , Approximate Nearest Neighbor , Free Shared Tier , Change Data Capture , Apache Iceberg , Store Kai , Product Management , Scheduled Notebooks , Vice President , Principal Analyst , Business Wire ,

SingleStore Announces Several New Product Innovations to Unlock Future of Real-Time AI

SingleStore Announces Several New Product Innovations to Unlock Future of Real-Time AI
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San Francisco , United States , Walker Sands , Raj Verma , Singlestore Now , Store Scope , Approximate Nearest Neighbor , Store Aura , Store Notebooks , Store Elegance ,

Neo4j brings vectors to graph database

The addition of vectors provides context to the graph database for enhanced search and supports generative AI and large language models. ....

Emil Eifrem , Approximate Nearest Neighbor ,

Do we really need a specialized vector database?

With the popularity of Large Language Model, vector databases have also become a hot topic. With just a few lines of simple Python code, a vector database can act as a cheap but highly effective "external brain" for your LLM. But do we really need a specialized vector database? ....

Large Language Model , Approximate Nearest Neighbor ,

Nectar In Vector, DataStax Takes Flight For Sweeter Clouds

Vector embeddings are the data representation that AI models (such as Large Language Models, or LLMs) use and generate to make complex decisions. ....

City Of , United Kingdom , Matt Aslett , Ed Anuff , Ventana Research , Cloud Service Provider , Amazon Web Services , Apache Cassandra , Salt Lake City , Arthur Jackson , Large Language Models , Approximate Nearest Neighbor , Microsoft Azure , Datastax Enterprise , Large Learning Models ,