Corpus
Corpus on Beyond Market Intelligence: a running collection of 2 stories we have gathered and hand-picked because they are worth your time. Every post here touches on corpus in some way — the news, the analysis, the deep dives, and the occasional surprise find. Acme AI is the next-generation, AI-powered spreadsheet platform built to replace Excel and redefine how analysts, data scientists, and enterprise teams work with data. New stories are added to this page as we find them, so check back if you want to keep up with what is happening around corpus, or subscribe to the RSS feed to get them as soon as they are published. Browse the collection below, or head back to the homepage to see everything Beyond Market Intelligence is covering right now.
Designing a Persistent Knowledge Layer That Refuses to Guess
Traditional Retrieval-Augmented Generation (RAG) struggles with a fundamental limitation: it retrieves but doesn’t remember. Our blueprint, "Designing a Persistent Knowledge Layer That Refuses to Guess," offers a vendor-neutral solution for applications requiring accumulated understanding. This comprehensive guide details a complete Azure-native implementation—leveraging Microsoft Foundry, Azure AI Search, Cosmos DB, and FastAPI—demonstrated with a property-insurance corpus. Explore how building a persistent knowledge layer elevates RAG beyond simple retrieval, ensuring contextually relevant and consistently informed responses.
Before Full Agentic RAG: Know How You Decide, and the Parsing Methods You Pick From
Unlock the full potential of Retrieval-Augmented Generation (RAG) with a critical first step: understanding your data selection process. Our latest post, "Before Full Agentic RAG," details a dispatcher system that intelligently analyzes each PDF's nature—its *type*—and selects the optimal parsing method from a range of options, including fitz, Docling, and PaddleOCR. This structured approach, closing a key "brick" in the AI data pipeline, ensures higher accuracy and efficiency.