LlamaIndex goes beyond RAG so agents can make complex decisions
A new orchestration architecture from LlamaIndex brings more context and decision-making capabilities to AI agents.Read More
RAG
OpenSPG/KAG: KAG is a logical form-guided reasoning and retrieval framework based on OpenSPG engine and LLMs. It is used to build logical reasoning and factual Q&A solutions for professional domain knowledge bases. It can effectively overcome the shortcomings of the traditional RAG vector similarity calculation model.
English | 简体中文 | 日本語版ドキュメント KAG is a logical reasoning and Q&A framework based on the OpenSPG engine and large…
Cohere’s smallest, fastest R-series model excels at RAG, reasoning in 23 languages
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AWS debuts advanced RAG features for structured, unstructured data
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