Haystack is an easy open-source framework for building RAG pipelines and LLM-powered applications, and the foundation for a handy SaaS platform for managing their life cycle.

RAG is an approach that combines Gen AI LLMs with information retrieval techniques. Essentially, RAG allows LLMs to access external knowledge stored in databases, documents, and other information ...

As LLMs become more capable, many RAG applications can be replaced with cache-augmented generation that include documents in the prompt.

All the large language model (LLM) publishers and suppliers are focusing on the advent of artificial intelligence (AI) agents and agentic AI. These terms are confusing. All the more so as the ...

Whether we should trust AI - particularly generative AI - remains a worthy debate. But if you want a better LLM result, you need two things: better data, and better evaluation tools. Here's how a chip ...

Retrieval augmented generation, or 'RAG' for short, creates a more customized and accurate generative AI model that can greatly reduce anomalies such as hallucinations.

AWS has also added a new LLM-as-a-judge feature inside Bedrock Model Evaluation — a tool inside Bedrock that can help enterprises choose an LLM that fits their use case.

Small businesses can improve their online presence with LLM prompting or AI agents, while global corporations may benefit from RAG for research and LLM fine-tuning for brand consistency.

Researchers introduced the "Diagram of Thought" (DoT) framework, enhancing large language models' reasoning through a directed acyclic graph structure, enabling iterative improvement and logical ...

Cloudflare has launched a managed service for using retrieval-augmented generation in LLM-based systems. Now in beta, CloudFlare AutoRAG aims to make it easier for developers to build pipelines ...