Standard RAG pipelines treat documents as flat strings of text. They use "fixed-size chunking" (cutting a document every 500 ...

The Bilingual Semantic Highlighting Model is available today as an open-source release. To learn more about the training ...

Want smarter insights in your inbox? Sign up for our weekly newsletters to get only what matters to enterprise AI, data, and security leaders. Subscribe Now When large language models (LLMs) emerged, ...

AI is undoubtedly a formidable capability that poses to bring any enterprise application to the next level. Offering significant benefits for both the consumer and the developer alike, technologies ...

Retrieval-augmented generation (RAG) has become a go-to architecture for companies using generative AI (GenAI). Enterprises adopt RAG to enrich large language models (LLMs) with proprietary corporate ...

The latest release of the Couchbase database adds support for vector search, integration with Llamaindex and LangChain, and support for retrieval-augmented generation (RAG) techniques, all of which ...

Here's the simple 30 second definition, A deeper dive will follow. RAG (Retrieval Augmented Generation) is the buzziest word on the GenAI internet right now, more jargon to confuse the uninitiated.

Claim your complimentary copy of "Unlocking Data with Generative AI and RAG" (worth $31.99) for free, before the offer ends on Dec 3. Generative AI is helping organizations tap into their data in new ...

Continued investment into LangChain’s ecosystem brings Elastic’s latest retrieval innovations to one of the most popular generative AI libraries SAN FRANCISCO--(BUSINESS WIRE)--Elastic (NYSE: ESTC), ...