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Build an AI-powered document processing platform with open source NER model and LLM on Amazon SageMaker

AWS Machine Learning - AI

Traditional keyword-based search mechanisms are often insufficient for locating relevant documents efficiently, requiring extensive manual review to extract meaningful insights. This solution improves the findability and accessibility of archival records by automating metadata enrichment, document classification, and summarization.

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Unbundling the Graph in GraphRAG

O'Reilly Media - Ideas

Here’s a simple rough sketch of RAG: Start with a collection of documents about a domain. Split each document into chunks. One more embellishment is to use a graph neural network (GNN) trained on the documents. Chunk your documents from unstructured data sources, as usual in GraphRAG. at Facebook—both from 2020.

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Diagramming System Architecture in 5 Simple Steps

Tandem

As part of our final project handoff to Tandem clients, we provide a diagram of the product’s architecture — a visual depiction of the various systems, platforms, and tools that work together to support a software product. At Tandem, documentation is more than just a best practice: it’s a way we demonstrate our values.

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AI agents loom large as organizations pursue generative AI value

CIO

An agent could create a net new sales analysis, working with other agents to scan the various sales inputs and outputs for relevant information, draft a document, review it, vet it against corporate standards, and revise it accordingly. A similar approach to infrastructure can help.

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C4 PlantUML: Effortless Software Documentation

Apiumhub

Introduction Documentation plays a crucial role in any project, serving as a compass for development teams, and as a good way for the new joiners to know how the project is done. This integration offers a convenient and efficient approach to creating and maintaining up-to-date system architecture diagrams.

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Understanding Retrieval-Augmented Generation (RAG) on Google Cloud Platform (GCP)

Xebia

No Internal Data Access: Without access to proprietary datasets or internal company documents, responses are generic and lack personalization. Levels of RAG Implementation on GCP Level 1: Basic RAG This level involves document retrieval using vector search and answer generation via a prompt containing the retrieved context.

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Agile Misconception #2: We Don’t Need Documentation

Atomic Spin

Documentation means a lot of different things to different people. If you’ve used a waterfall software development process, you’re all too familiar with documentation. From requirements to systems architecture to design, you’re creating documentation at every step of the process. What Should You Document?

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