A new study from Google researchers introduces "sufficient context," a novel perspective for understanding and improving retrieval augmented generation (RAG) systems in large language models (LLMs).

Building an AI agent can start with surprisingly little code. Python basics, an LLM API, a few tools, and a defined task are often enough for an early ...

Google researchers introduced a method to improve AI search and assistants by enhancing Retrieval-Augmented Generation (RAG) models’ ability to recognize when retrieved information lacks sufficient ...

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Use this Neo4j GraphRAG library to build your own knowledge graph-based applications. But why GraphRAG, the concept, in the first place? GraphRAG is an advanced RAG technique which consumes structured ...