Topic: rag

Elastic launches low-code interface for experimenting with RAG implementation

Elastic has just released a new tool called Playground that will enable users to experiment with retrieval-augmented generation (RAG) more easily. RAG is a practice in which local data is added to an LLM, such as private company data or data that is more up-to-date than the LLMs training set. This allows it to give … continue reading

DataStax releases a number of updates to better facilitate RAG implementation

DataStax is making a number of improvements to its development platform that will allow developers to more easily implement retrieval augmented generation (RAG) in their generative AI applications.  “The Generative AI stack is a big and complex ball of technology that many are working to get their arms around. We’re focused on helping developers stay … continue reading

RAG is the next exciting advancement for LLMs

One of the challenges with generative AI models has been that they tend to hallucinate responses. In other words, they will present an answer that is factually incorrect, but will be confident in doing so, sometimes even doubling down when you point out that what they’re saying is wrong. “[Large language models] can be inconsistent … continue reading

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