Another example, agentic RAG, expands the resources available to the LLM to include tools and functions as well as external knowledge sources, such as text databases. Large language models often ...

With pure LLM-based chatbots this is beyond question, as the responses provided range between plausible to completely delusional. Grounding LLMs with RAG reduces the amount of made-up nonsense ...

Integrating RAG into marketing enables dynamic, personalized content, enhancing audience engagement. However, for highly specific brand identity or hyper-personalized content, LLM fine-tuning may ...

The challenge of integrating search with LLMs Search engines are crucial for providing LLM applications with up ... are Retrieval-Augmented Generation (RAG) and tool use, implemented through ...