A Question-based Extraction Approach
In this blog post, we introduce an approach that leverages a Graph Retrieval-Augmented Generation (GraphRAG ) method — to streamline the process of ingesting commercial contract data and building a Q&A Agent.
This approach diverges from traditional Retrieval-Augmented Generation (RAG) by emphasizing efficiency in data extraction, rather than breaking down and vectorizing entire documents indiscriminately, which is the predominant RAG approach.
In conven...
Read it: GraphRAG in Action: From Commercial Contracts to a Dynamic Q&A Agent