Chroma’s Context-1 is a 20B retrieval-augmented model that beats ChatGPT 5 on search, using agentic loops to improve relevance at low latency.

What is Retrieval-Augmented Generation (RAG)? Retrieval-Augmented Generation (RAG) is an advanced AI technique combining language generation with real-time information retrieval, creating responses ...

In this episode of eSpeaks, Jennifer Margles, Director of Product Management at BMC Software, discusses the transition from traditional job scheduling to the era of the autonomous enterprise. eSpeaks’ ...

RAG allows government agencies to infuse generative artificial intelligence models and tools with up-to-date information, creating more trust with citizens. Phil Goldstein is a former web editor of ...

Aquant Inc., the provider of an artificial intelligence platform for service professionals, today introduced “retrieval-augmented conversation,” a new way for large language models to retrieve and ...

Generative artificial intelligence is transforming publishing, marketing and customer service. By providing personalized responses to user questions, generative AI fosters better customer experiences ...

Cloud database-as-a-service provider Couchbase Inc. today added some powerful new capabilities to its platform that should enhance its ability to support more advanced generative artificial ...

Retrieval-augmented generation, or RAG, integrates external data sources to reduce hallucinations and improve the response accuracy of large language models. Retrieval-augmented generation (RAG) is a ...

Many medium-sized business leaders are constantly on the lookout for technologies that can catapult them into the future, ensuring they remain competitive, innovative and efficient. One such ...

RAG is a pragmatic and effective approach to using large language models in the enterprise. Learn how it works, why we need it, and how to implement it with OpenAI and LangChain. Typically, the use of ...