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RAG and Streamlit Chatbot: Chat with Documents Using LLM

Analytics Vidhya

Introduction This article aims to create an AI-powered RAG and Streamlit chatbot that can answer users questions based on custom documents. Users can upload documents, and the chatbot can answer questions by referring to those documents.

Modeling 314
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Beyond “Prompt and Pray”

O'Reilly on Data

Your companys AI assistant confidently tells a customer its processed their urgent withdrawal requestexcept it hasnt, because it misinterpreted the API documentation. When we talk about conversational AI, were referring to systems designed to have a conversation, orchestrate workflows, and make decisions in real time.

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Unbundling the Graph in GraphRAG

O'Reilly on Data

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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5 top business use cases for AI agents

CIO Business Intelligence

And because these are our lawyers working on our documents, we have a historical record of what they typically do. We get a lot of documents from 20,000 customers, in all sorts of formats, says Brian Halpin, the companys senior managing director of automation. That adds up to millions of documents a month that need to be processed.

Software 143
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Data center provider fakes Tier 4 data center certificate to bag $11M SEC deal

CIO Business Intelligence

According to the indictment, Jain’s firm provided fraudulent certification documents during contract negotiations in 2011, claiming that their Beltsville, Maryland, data center met Tier 4 standards, which require 99.995% uptime and advanced resilience features. From 2012 through 2018, the SEC paid Company A approximately $10.7

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An AI Data Platform for All Seasons

Rocket-Powered Data Science

Pure Storage empowers enterprise AI with advanced data storage technologies and validated reference architectures for emerging generative AI use cases. See additional references and resources at the end of this article. OVX Validated Reference Architecture for AI-ready Infrastructures First question: What is OVX validation?

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Manage access controls in generative AI-powered search applications using Amazon OpenSearch Service and Amazon Cognito

AWS Big Data

A common adoption pattern is to introduce document search tools to internal teams, especially advanced document searches based on semantic search. In a real-world scenario, organizations want to make sure their users access only documents they are entitled to access. The following diagram depicts the solution architecture.