RAGs
GraphRAG is a pivotal research from Microsoft improving the shortcomings of naive RAG by employing structured Knowledge graph which includes entities relations claims etc for traceability by traversing multi hop
- Generative AI, LLMs, NLP, RAGs
AI being no longer confined to passive algorithms is transforming itself into autonomous agents that can perceive reason and act with increasing intelligence These agents are designed to navigate uncertainty
This article discusses the architecture of LightRAG from HKU exploring its in depth internal workings and comparing it with GraphRAG and NaiveRAG for local document analysis
Performing RAG on Unstructured elements that too in complex pdfs like finance law reports is challenging ColPali a novel document retrieval approach achieves SOTA results with high quality retrieval This
In this article we explore RAG with LLMs using LangChain and Hugging Face Transformers
