--- title: "Architecture & Orchestration" description: "Insights filed under Architecture & Orchestration." url: https://lidvizion.ai/blog-categories/architecture-orchestration/ site: Lid Vizion index: https://lidvizion.ai/llms.txt --- [Insights](https://lidvizion.ai/blogs/) · Category # Architecture & Orchestration 11 articles filed under Architecture & Orchestration. [Let’s map your workflow](https://lidvizion.ai/contact/) · [All insights](https://lidvizion.ai/blogs/) ## Articles - [Efficient Data Retrieval from Images: Using LlamaIndex, Mongo, and AWS](https://lidvizion.ai/blog/efficient-data-retrieval-from-images-using-llamaindex-mongo-and-aws/): This blog explains how image-centric RAG improves search accuracy by indexing image embeddings directly instead of relying on captions. Using CLIP or VoyageAI… - [Basketball Performance AI: Lightweight Video Analytics (with the Right Resources)](https://lidvizion.ai/blog/basketball-performance-ai-lightweight-video-analytics-with-the-right-resources/): A B2B playbook for basketball clubs, academies, leagues, and apps: build player/ball tracking, event tagging, and coach-ready insights with lightweight… - [Why Pose Estimation Is the Next Fitness Feature Moat (B2B Guide + Resources)](https://lidvizion.ai/blog/why-pose-estimation-is-the-next-fitness-feature-moat-b2b-guide-resources/): A resource-backed B2B playbook for fitness app owners, gyms, and training businesses: ship MediaPipe Pose form feedback (rep counting, scoring, coach reports)… - [Designing a Multi-Model Inference Routing System for Vision + LLM Workloads](https://lidvizion.ai/blog/designing-a-multi-model-inference-routing-system-for-vision-llm-workloads/): 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… - [AWS Step Functions Patterns for Reliable Document Automation (Retries, Idempotency, and Audits)](https://lidvizion.ai/blog/step-functions-patterns-for-reliable-document-automation-on-aws/): Document automation is a long running workflow: ingest, OCR, validate, route, and generate outputs. AWS Step Functions is a strong orchestration - [MongoDB Atlas Vector Search RAG for Document Workflows on AWS (A Practical Blueprint)](https://lidvizion.ai/blog/mongodb-atlas-vector-search-rag-for-document-workflows-on-aws/): Retrieval augmented generation (RAG) is most valuable when it is attached to a real workflow: intake, search, extraction, and decision support. This post - [Scalable MongoDB Design for Vision Metadata](https://lidvizion.ai/blog/scalable-mongodb-design-for-vision-metadata/): Learn MongoDB schema patterns, sharding, and vector storage strategies to manage large-scale computer vision metadata cost-effectively. - [Modern Full-Stack Architectures for Computer Vision Apps](https://lidvizion.ai/blog/modern-full-stack-architectures-for-computer-vision-apps/): Learn how to build scalable computer vision apps with React, AWS, and MongoDB—covering pipelines, serverless, microservices, and best practices. - [Serverless Workflows and APIs for Computer Vision](https://lidvizion.ai/blog/serverless-workflows-and-apis-for-computer-vision/): 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… - [Architecting Ultra-Realistic 3D Avatars with React, MongoDB, and AWS](https://lidvizion.ai/blog/architecting-ultra-realistic-3d-avatars-with-react-mongodb-and-aws/): 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… - [Introduction: Semantic Video Retrieval and RAG](https://lidvizion.ai/blog/introduction-semantic-video-retrieval-and-rag/): This blog explains how Retrieval-Augmented Generation (RAG) can transform traditional video search by enabling users to query massive video libraries through… Bring the messy version ## One workflow. A better way to run it. Show us the tools, the handoffs, and the part that keeps slowing your team down. [Let’s map your workflow](https://lidvizion.ai/contact/) · [Read our approach](https://lidvizion.ai/approach/)