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Beyond RAG: Building Graph-Aware Retrieval for...

Why We Moved Beyond Vector Search for Contract QA When we started building AgreedPro, one of the core technical questions seemed almost ordinary: how do you answer questions over contracts using modern AI retrieval systems? At first, the answer felt obvious. Use RAG. Chunk the contract. Embed the chunks. Retrieve the top matches. Pass them to a language model. Let the model generate the answer. That pipeline is familiar because, in many domains, it works. It works well on documentation, FAQs, pr
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