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#4137 Hybrid RAF with Knowledge Graph and Embedded Documents

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#4137 Hybrid RAF with Knowledge Graph and Embedded Documents #4137  Given a knowledge graph with embedded documents, what is "hybrid" RAG? In the world of Retrieval-Augmented Generation (RAG), "Hybrid" RAG is essentially the "best of both worlds" approach. When you have a knowledge graph (KG) integrated with embedded documents, you aren't just looking for text that looks similar; you’re looking for how concepts are connected . Think of it as the difference between searching a library by keyword (Vector) versus having a librarian who knows exactly which authors influenced each other and which chapters belong to which broader theories (Graph). How It Works: The Two Pillars Hybrid RAG combines two distinct retrieval methods to feed the Large Language Model (LLM): 1. Vector-Based Retrieval (Unstructured) The "What": This uses mathematical representations (embeddings) to find documents that are semantically similar to your query. The Strength: ...
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#4136 Multiple Document Lookup Table for Name Entities --> Excel File

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#4136 Multiple Document Lookup Table for Name Entities --> Excel File #4136  I have a bunch of NASA program project documents in PDF format. They include ConOps, SRS, SDD and STPs. Describe step-by-step how I can automate the creation of a lookup table with links from named entity to each reference in the document segments Given your background in software process engineering and your work with NASA S&MA, you likely need a solution that is both structurally sound and highly traceable. Automating the mapping of ConOps, SRS, SDD, and STP documents requires a pipeline that respects the hierarchical nature of these specific document types. Here is a step-by-step technical workflow to automate a lookup table with segment-level deep links. Phase 1: Pre-processing and Structural Extraction NASA documents often use standardized numbering (e.g., Section 3.2.1). Instead of treating the PDF as a "blob" of text, you need to preserve the document architecture . PDF to Markdown/JSON...
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