RAG

Anthropic's "Contextual Retrieval" RAG method reduces failed retrievals by 49-67%. Preserves context in knowledge bases via Contextual Embeddings and BM25.

Google's DataGemma uses Data Commons to reduce LLM hallucinations. RIG and RAG approaches improve factual accuracy in AI responses.

Contextual AI's RAG 2.0 integrates retriever and generator, improving AI performance 10x. It processes diverse data types with lower compute needs.

Infosys integrates Llama 3.1 into Topaz for document, video, and audio processing. It's also used in a legal assistant with RAG for cited information.

Rakuten partners with OpenAI to enhance services using AI. Leverages data from 1.8B users across 70 platforms. Improves customer service, shopping experience, and B2B consulting. Plans for voice and vision AI capabilities.

AI terms explained: Language models, grounding, RAG, orchestration, memory simulation. Transformer vs diffusion models. Frontier models push limits.