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    <title>Lid Vizion Insights</title>
    <link>https://lidvizion.ai/blogs/</link>
    <description>Practical thinking about AI implementation, connected tools, and software that fits the work.</description>
    <language>en</language>
    <item><title>AI Document Analysis for Contract &amp; Form Review: Real Estate + B2B Workflow Demo</title><link>https://lidvizion.ai/blog/ai-document-analysis-contract-form-review-real-estate-b2b/</link><guid isPermaLink="true">https://lidvizion.ai/blog/ai-document-analysis-contract-form-review-real-estate-b2b/</guid><description>See how Lid Vizion’s Document Intelligence workflow drops into your app to review forms, extract fields, and flag compliance issues—ideal for real estate brokerages and any document-heavy team.</description><category>Integration Playbooks</category><pubDate>Thu, 19 Feb 2026 00:00:00 GMT</pubDate></item>
    <item><title>Building a Secure Expungement Automation Tool with Lid Vizion: OCR, Rules, Form Fill, and Secure Storage</title><link>https://lidvizion.ai/blog/secure-expungement-automation-ocr-rules-pdf-sharepoint/</link><guid isPermaLink="true">https://lidvizion.ai/blog/secure-expungement-automation-ocr-rules-pdf-sharepoint/</guid><description>How to ship an auditable expungement automation pipeline fast using Lid Vizion’s pre-built platform components: identity, event logging, rules, integrations, and analytics—on top of OCR, deterministic eligibility logic, and secure packet storage.</description><pubDate>Mon, 16 Feb 2026 02:11:23 GMT</pubDate></item>
    <item><title>Efficient Data Retrieval from Images: Using LlamaIndex, Mongo, and AWS</title><link>https://lidvizion.ai/blog/efficient-data-retrieval-from-images-using-llamaindex-mongo-and-aws/</link><guid isPermaLink="true">https://lidvizion.ai/blog/efficient-data-retrieval-from-images-using-llamaindex-mongo-and-aws/</guid><description>This blog explains how image-centric RAG improves search accuracy by indexing image embeddings directly instead of relying on captions. Using CLIP or VoyageAI models, MongoDB Atlas Vector Search, and LlamaIndex, it creates a low-cost, scalable pipeline where text or image queries can instantly…</description><category>Architecture &amp; Orchestration</category><pubDate>Mon, 16 Feb 2026 00:00:00 GMT</pubDate></item>
    <item><title>Basketball Performance AI: Lightweight Video Analytics (with the Right Resources)</title><link>https://lidvizion.ai/blog/basketball-performance-ai-lightweight-video-analytics-with-the-right-resources/</link><guid isPermaLink="true">https://lidvizion.ai/blog/basketball-performance-ai-lightweight-video-analytics-with-the-right-resources/</guid><description>A B2B playbook for basketball clubs, academies, leagues, and apps: build player/ball tracking, event tagging, and coach-ready insights with lightweight CV—plus a curated resource stack you can trust.</description><category>Architecture &amp; Orchestration</category><pubDate>Fri, 06 Feb 2026 00:00:00 GMT</pubDate></item>
    <item><title>Why Pose Estimation Is the Next Fitness Feature Moat (B2B Guide + Resources)</title><link>https://lidvizion.ai/blog/why-pose-estimation-is-the-next-fitness-feature-moat-b2b-guide-resources/</link><guid isPermaLink="true">https://lidvizion.ai/blog/why-pose-estimation-is-the-next-fitness-feature-moat-b2b-guide-resources/</guid><description>A resource-backed B2B playbook for fitness app owners, gyms, and training businesses: ship MediaPipe Pose form feedback (rep counting, scoring, coach reports) with privacy-first, edge-friendly deployment—without building a full ML team.</description><category>Architecture &amp; Orchestration</category><pubDate>Thu, 05 Feb 2026 00:00:00 GMT</pubDate></item>
    <item><title>On-Device Photo Intelligence Engines (Privacy-First Clustering and Personalization)</title><link>https://lidvizion.ai/blog/on-device-photo-intelligence-engines-privacy-first-clustering-and-personalization/</link><guid isPermaLink="true">https://lidvizion.ai/blog/on-device-photo-intelligence-engines-privacy-first-clustering-and-personalization/</guid><description>On August 7th, 2025, OpenAI released GPT-5, the newest model in their GPT series. GPT-5 has advanced reasoning capabilities and, like many recent models by OpenAI, multimodal support.</description><category>Deployment &amp; Scale</category><pubDate>Fri, 23 Jan 2026 00:00:00 GMT</pubDate></item>
    <item><title>Designing a Multi-Model Inference Routing System for Vision + LLM Workloads</title><link>https://lidvizion.ai/blog/designing-a-multi-model-inference-routing-system-for-vision-llm-workloads/</link><guid isPermaLink="true">https://lidvizion.ai/blog/designing-a-multi-model-inference-routing-system-for-vision-llm-workloads/</guid><description>This blog explains how modern AI applications can intelligently route tasks across multiple models such as sending images to YOLOv8 and text to LLMs like GPT or Claude through an API Gateway + AWS Step Functions orchestration layer. It details how routing logic (Choice or LLM-assisted) selects the…</description><category>Architecture &amp; Orchestration</category><pubDate>Sat, 17 Jan 2026 00:00:00 GMT</pubDate></item>
    <item><title>Active Learning and Data Labeling Workflow for Computer Vision (From Pilot to Production)</title><link>https://lidvizion.ai/blog/active-learning-and-data-labeling-workflow-for-computer-vision/</link><guid isPermaLink="true">https://lidvizion.ai/blog/active-learning-and-data-labeling-workflow-for-computer-vision/</guid><description>Computer vision systems improve when you make labeling and retraining a routine, not a special event. Active learning is a set of tactics to label the</description><category>Data &amp; Annotation</category><pubDate>Mon, 01 Dec 2025 00:00:00 GMT</pubDate></item>
    <item><title>Multi Tenant AI SaaS Architecture on AWS and MongoDB (A Practical Guide)</title><link>https://lidvizion.ai/blog/multi-tenant-ai-saas-architecture-aws-mongodb/</link><guid isPermaLink="true">https://lidvizion.ai/blog/multi-tenant-ai-saas-architecture-aws-mongodb/</guid><description>If you are turning an AI workflow into a SaaS product, the hardest parts are usually tenancy, security, and operations. This post outlines a practical multi tenant arc</description><category>Deployment &amp; Scale</category><pubDate>Mon, 24 Nov 2025 00:00:00 GMT</pubDate></item>
    <item><title>Audit Logging and Provenance for AI Workflows (AWS and MongoDB Patterns)</title><link>https://lidvizion.ai/blog/audit-logging-and-provenance-for-ai-workflows-aws-mongodb/</link><guid isPermaLink="true">https://lidvizion.ai/blog/audit-logging-and-provenance-for-ai-workflows-aws-mongodb/</guid><description>If an AI system affects legal, financial, or compliance outcomes, you need to answer: what happened, when, why, and who approved it. This post outlines audit logging a</description><category>Integration Playbooks</category><pubDate>Mon, 17 Nov 2025 00:00:00 GMT</pubDate></item>
    <item><title>Cost Optimization for AI Document Pipelines on AWS (A Playbook)</title><link>https://lidvizion.ai/blog/cost-optimization-for-ai-document-pipelines-on-aws/</link><guid isPermaLink="true">https://lidvizion.ai/blog/cost-optimization-for-ai-document-pipelines-on-aws/</guid><description>AI document pipelines can get expensive fast if they are built like prototypes. This post covers practical levers to reduce cost without sacrificing reliability. Cost drivers i</description><category>Deployment &amp; Scale</category><pubDate>Mon, 10 Nov 2025 00:00:00 GMT</pubDate></item>
    <item><title>Human in the Loop Document Review UI (Architecture on AWS and MongoDB)</title><link>https://lidvizion.ai/blog/human-in-the-loop-doc-review-ui-architecture-aws-mongodb/</link><guid isPermaLink="true">https://lidvizion.ai/blog/human-in-the-loop-doc-review-ui-architecture-aws-mongodb/</guid><description>Fully automated document extraction is rare in real operations. The difference between a pilot and a production system is usually a clean human in the loop layer that ha</description><category>Integration Playbooks</category><pubDate>Mon, 03 Nov 2025 00:00:00 GMT</pubDate></item>
    <item><title>Edge Computer Vision on Jetson with ONNX and TensorRT, Managed by AWS IoT</title><link>https://lidvizion.ai/blog/edge-computer-vision-aws-iot-onnx-tensorrt-jetson/</link><guid isPermaLink="true">https://lidvizion.ai/blog/edge-computer-vision-aws-iot-onnx-tensorrt-jetson/</guid><description>Edge deployment is often the right choice when bandwidth is limited, latency must be very low, or data cannot leave a site. This post outlines a practical approach fo</description><category>Deployment &amp; Scale</category><pubDate>Mon, 27 Oct 2025 00:00:00 GMT</pubDate></item>
    <item><title>AWS Kinesis Video Streams and Real Time Computer Vision Architecture (What to Build First)</title><link>https://lidvizion.ai/blog/aws-kinesis-video-streams-and-realtime-cv-architecture/</link><guid isPermaLink="true">https://lidvizion.ai/blog/aws-kinesis-video-streams-and-realtime-cv-architecture/</guid><description>Real time computer vision projects often fail for non ML reasons: stream reliability, buffering, latency, and alert routing. This post outlines a pra</description><category>Deployment &amp; Scale</category><pubDate>Mon, 20 Oct 2025 00:00:00 GMT</pubDate></item>
    <item><title>AWS Step Functions Patterns for Reliable Document Automation (Retries, Idempotency, and Audits)</title><link>https://lidvizion.ai/blog/step-functions-patterns-for-reliable-document-automation-on-aws/</link><guid isPermaLink="true">https://lidvizion.ai/blog/step-functions-patterns-for-reliable-document-automation-on-aws/</guid><description>Document automation is a long running workflow: ingest, OCR, validate, route, and generate outputs. AWS Step Functions is a strong orchestration</description><category>Architecture &amp; Orchestration</category><pubDate>Mon, 13 Oct 2025 00:00:00 GMT</pubDate></item>
    <item><title>MongoDB Atlas Vector Search RAG for Document Workflows on AWS (A Practical Blueprint)</title><link>https://lidvizion.ai/blog/mongodb-atlas-vector-search-rag-for-document-workflows-on-aws/</link><guid isPermaLink="true">https://lidvizion.ai/blog/mongodb-atlas-vector-search-rag-for-document-workflows-on-aws/</guid><description>Retrieval augmented generation (RAG) is most valuable when it is attached to a real workflow: intake, search, extraction, and decision support. This post</description><category>Architecture &amp; Orchestration</category><pubDate>Mon, 06 Oct 2025 00:00:00 GMT</pubDate></item>
    <item><title>AWS Textract vs Open Source OCR for Production Doc AI (Accuracy, Cost, and Architecture)</title><link>https://lidvizion.ai/blog/aws-textract-vs-open-source-ocr-for-production-doc-ai/</link><guid isPermaLink="true">https://lidvizion.ai/blog/aws-textract-vs-open-source-ocr-for-production-doc-ai/</guid><description>Who this is for If you are building document automation that has to work in production, not just in a notebook, this guide compares AWS Textract with l</description><category>Integration Playbooks</category><pubDate>Mon, 29 Sep 2025 00:00:00 GMT</pubDate></item>
    <item><title>Monitoring, Logging, and Analytics for Vision Systems</title><link>https://lidvizion.ai/blog/monitoring-logging-and-analytics-for-vision-systems/</link><guid isPermaLink="true">https://lidvizion.ai/blog/monitoring-logging-and-analytics-for-vision-systems/</guid><description>Modern computer-vision workflows often involve multiple specialized agents (image classifiers, annotation tools, QA reviewers, billing trackers) working together. An LLM-based orchestrator can plan and route tasks across these agents (think cognitive orchestration) where the “master agent” uses…</description><category>Product Updates &amp; Releases</category><pubDate>Thu, 11 Sep 2025 00:00:00 GMT</pubDate></item>
    <item><title>AI-Enhanced Apps with React and AWS for Vision</title><link>https://lidvizion.ai/blog/ai-enhanced-apps-with-react-and-aws-for-vision/</link><guid isPermaLink="true">https://lidvizion.ai/blog/ai-enhanced-apps-with-react-and-aws-for-vision/</guid><description>Learn how to use and train the three new state-of-the-art RF-DETR object detection model sizes.</description><category>Deployment &amp; Scale</category><pubDate>Thu, 28 Aug 2025 00:00:00 GMT</pubDate></item>
    <item><title>From Pixels to People: The Evolution of 3D Avatars from Research Labs to Your Browser</title><link>https://lidvizion.ai/blog/from-pixels-to-people-the-evolution-of-3davatars-from-research-labs-to-your-browser/</link><guid isPermaLink="true">https://lidvizion.ai/blog/from-pixels-to-people-the-evolution-of-3davatars-from-research-labs-to-your-browser/</guid><description>Learn how to use and train the three new state-of-the-art RF-DETR object detection model sizes.</description><category>Customer Stories &amp; Case Studies</category><pubDate>Fri, 15 Aug 2025 00:00:00 GMT</pubDate></item>
    <item><title>Scalable MongoDB Design for Vision Metadata</title><link>https://lidvizion.ai/blog/scalable-mongodb-design-for-vision-metadata/</link><guid isPermaLink="true">https://lidvizion.ai/blog/scalable-mongodb-design-for-vision-metadata/</guid><description>Learn MongoDB schema patterns, sharding, and vector storage strategies to manage large-scale computer vision metadata cost-effectively.</description><category>Architecture &amp; Orchestration</category><pubDate>Fri, 08 Aug 2025 00:00:00 GMT</pubDate></item>
    <item><title>Real-Time Computer Vision Data and Event-Driven Systems</title><link>https://lidvizion.ai/blog/real-time-computer-vision-data-andevent-driven-systems/</link><guid isPermaLink="true">https://lidvizion.ai/blog/real-time-computer-vision-data-andevent-driven-systems/</guid><description>Learn how to build real-time computer vision systems with event-driven pipelines, WebSockets, MongoDB change streams, and live annotation tools.</description><category>MLOps &amp; Monitoring</category><pubDate>Thu, 31 Jul 2025 00:00:00 GMT</pubDate></item>
    <item><title>DevOps and Deployment Pipelines for CV Applications</title><link>https://lidvizion.ai/blog/devops-and-deployment-pipelines-for-cv-applications/</link><guid isPermaLink="true">https://lidvizion.ai/blog/devops-and-deployment-pipelines-for-cv-applications/</guid><description>This blog outlines how to build a DevOps CI/CD pipeline for deploying computer vision (CV) models using GitHub Actions and AWS. It walks through every stage—building, testing, packaging, and deploying models to ECS or Lambda, integrating Roboflow for training, and using MongoDB to version models…</description><category>MLOps &amp; Monitoring</category><pubDate>Thu, 24 Jul 2025 00:00:00 GMT</pubDate></item>
    <item><title>File and Media Management in Vision Workflows</title><link>https://lidvizion.ai/blog/file-and-media-management-in-vision-workflows/</link><guid isPermaLink="true">https://lidvizion.ai/blog/file-and-media-management-in-vision-workflows/</guid><description>Learn key SEO expert interview questions to assess skills, strategy, and tools for hiring the right candidate.</description><category>Data &amp; Annotation</category><pubDate>Thu, 10 Jul 2025 00:00:00 GMT</pubDate></item>
    <item><title>Modern Full-Stack Architectures for Computer Vision Apps</title><link>https://lidvizion.ai/blog/modern-full-stack-architectures-for-computer-vision-apps/</link><guid isPermaLink="true">https://lidvizion.ai/blog/modern-full-stack-architectures-for-computer-vision-apps/</guid><description>Learn how to build scalable computer vision apps with React, AWS, and MongoDB—covering pipelines, serverless, microservices, and best practices.</description><category>Architecture &amp; Orchestration</category><pubDate>Sun, 15 Jun 2025 00:00:00 GMT</pubDate></item>
    <item><title>Real-Time Sports Analytics: From Pickleball Ball Tracking to Scalable CV Pipelines</title><link>https://lidvizion.ai/blog/real-time-sports-analytics-from-pickleball-ball-tracking-to-scalable-cv-pipelines/</link><guid isPermaLink="true">https://lidvizion.ai/blog/real-time-sports-analytics-from-pickleball-ball-tracking-to-scalable-cv-pipelines/</guid><description>Modern computer-vision workflows often involve multiple specialized agents (image classifiers, annotation tools, QA reviewers, billing trackers) working together. An LLM-based orchestrator can plan and route tasks across these agents (think cognitive orchestration) where the “master agent” uses…</description><category>Deployment &amp; Scale</category><pubDate>Sun, 08 Jun 2025 00:00:00 GMT</pubDate></item>
    <item><title>Serverless Workflows and APIs for Computer Vision</title><link>https://lidvizion.ai/blog/serverless-workflows-and-apis-for-computer-vision/</link><guid isPermaLink="true">https://lidvizion.ai/blog/serverless-workflows-and-apis-for-computer-vision/</guid><description>On August 7th, 2025, OpenAI released GPT-5, the newest model in their GPT series. GPT-5 has advanced reasoning capabilities and, like many recent models by OpenAI, multimodal support. This means</description><category>Architecture &amp; Orchestration</category><pubDate>Sun, 01 Jun 2025 00:00:00 GMT</pubDate></item>
    <item><title>Architecting Ultra-Realistic 3D Avatars with React, MongoDB, and AWS</title><link>https://lidvizion.ai/blog/architecting-ultra-realistic-3d-avatars-with-react-mongodb-and-aws/</link><guid isPermaLink="true">https://lidvizion.ai/blog/architecting-ultra-realistic-3d-avatars-with-react-mongodb-and-aws/</guid><description>This blog explains how to turn a single photo into a realistic, animatable 3D avatar using SMPL-X and PIFuHD models. It outlines a full-stack pipeline with React + Three.js for web previews, MongoDB Atlas for metadata, and AWS for storage, compute, and delivery. The final output is a compact GLB…</description><category>Architecture &amp; Orchestration</category><pubDate>Sat, 01 Feb 2025 00:00:00 GMT</pubDate></item>
    <item><title>Multi-Agent Orchestration for Vision Systems (LangChain + AWS)</title><link>https://lidvizion.ai/blog/multi-agent-orchestration-for-vision-systems-langchain-aws/</link><guid isPermaLink="true">https://lidvizion.ai/blog/multi-agent-orchestration-for-vision-systems-langchain-aws/</guid><description>Modern computer-vision workflows often involve multiple specialized agents (image classifiers, annotation tools, QA reviewers, billing trackers) working together. An LLM-based orchestrator can plan and route tasks across these agents (think cognitive orchestration) where the “master agent” uses…</description><category>MLOps &amp; Monitoring</category><pubDate>Wed, 01 Jan 2025 00:00:00 GMT</pubDate></item>
    <item><title>Introduction: Semantic Video Retrieval and RAG</title><link>https://lidvizion.ai/blog/introduction-semantic-video-retrieval-and-rag/</link><guid isPermaLink="true">https://lidvizion.ai/blog/introduction-semantic-video-retrieval-and-rag/</guid><description>This blog explains how Retrieval-Augmented Generation (RAG) can transform traditional video search by enabling users to query massive video libraries through natural language or image-based prompts. It details how video segments are analyzed, embedded, and indexed in a vector database like MongoDB…</description><category>Architecture &amp; Orchestration</category><pubDate>Sun, 08 Oct 2023 00:00:00 GMT</pubDate></item>
    <item><title>India AI Impact Summit 2026</title><link>https://lidvizion.ai/blog/india-ai-impact-summit-2026/</link><guid isPermaLink="true">https://lidvizion.ai/blog/india-ai-impact-summit-2026/</guid><description>This week’s India AI Impact Summit and the parallel India AI Impact Expo are being hosted at Bharat Mandapam in New Delhi, framed by the government as a Global South, hosted platform for “responsible and inclusive AI” and built around three pillars…People, Planet, Progress.</description></item>
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