RAG: The key to unlocking your enterprises' knowledge vault
In the most basic sense, RAG refines the responses of generative AI models through Knowledge Grounding, which makes ...
Beyond RAG: How cache-augmented generation reduces latency, complexity for smaller workloads
As LLMs become more capable, many RAG applications can be replaced with cache-augmented generation that include documents in the prompt.
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Air Canada’s Chatbot: Why RAG Is Better Than An LLM For Facts
Since the basic idea behind such a chatbot is that it ... but instead of pure LLMs they use what is called RAG: retrieval augmented generation. This bypasses the language model and instead fetches ...
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LlamaIndex goes beyond RAG so agents can make complex decisions
Learn More Popular AI orchestration framework LlamaIndex has introduced Agent Document Workflow (ADW), a new architecture that the company says goes beyond retrieval-augmented generation (RAG ...
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Contextual AI launches RAG 2.0 platform to aid in the development of domain-specific AI agents
With the launch of the Contextual AI Platform, enterprises will be able to create specialized “RAG agents” that can automate knowledge work on behalf of users. The new platform is based on an ...