Insights · Category
Architecture & Orchestration
11 articles filed under Architecture & Orchestration.
Articles
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)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)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 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)Document automation is a long running workflow: ingest, OCR, validate, route, and generate outputs. AWS Step Functions is a strong orchestrationMongoDB Atlas Vector Search RAG for Document Workflows on AWS (A Practical Blueprint)Retrieval augmented generation (RAG) is most valuable when it is attached to a real workflow: intake, search, extraction, and decision support. This postScalable 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 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 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 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 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.
---
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/)