RAG & Retrieval
Why Retrieval Quality Is the Hidden Weak Link in RAG Systems
Poor retrieval quality undermines RAG systems. Learn how chunking, metadata, and stale documents sabotage AI accuracy in production.
May 7, 2026
Private AI Infrastructure
Where Innovation Meets Precision
A self-hosted AI system engineered for speed, privacy, and adaptability. OpenAI-compatible APIs, governed access tokens, and real-time reasoning — all under your control.
<100msInference Latency
2Stable Model Aliases
OpenAICompatible API
100%Private & Self-hosted
How It Works
Private AI in four steps
Kent Wynn AI gives you a private, OpenAI-compatible platform where you can generate tokens, call APIs, and build intelligent tools.
01Get Token
Create Your API Token
Sign in to generate a scoped X-AI-Token from the console. No extra setup — ready in seconds.
02View Docs
Connect & Integrate
Use any OpenAI-compatible SDK. Point the base URL at api.kentwynn.com and authenticate with your token.
03See Models
Pick a Model
Choose kentwynn/reasoning for chat and logic, or kentwynn/embedding for semantic search and RAG.
04Dashboard
Monitor & Scale
Track token usage, manage quotas, and receive notifications from your account dashboard.
Model APIs
Two stable model aliases
Fully compatible with the OpenAI SDK. Stable public aliases — no breaking changes.
kentwynn/reasoning
Reasoning Model
Conversational intelligence for logic and context
Powers intelligent conversations and structured decision-making. Understands context, executes logical steps, and delivers real-time responses for chat, automation, or agent workflows.
- Streaming responses
- Tool calling
- JSON schema outputs
- Sub-100ms latency
api.kentwynn.com/v1/chat/completionsTry it →kentwynn/embedding
Embedding Model
Semantic understanding for search and retrieval
Transforms text into high-precision vectors for semantic search, clustering, and retrieval-augmented generation. Captures deep meaning beyond keywords.
- High-precision vectors
- RAG-ready
- Vector DB compatible
- OpenAI SDK drop-in
api.kentwynn.com/v1/embeddingsTry it →The Platform
Products & services
An interconnected suite of AI-powered tools built on the same private infrastructure.
Live
Kent Wynn AI
The developer console for the Kent Wynn AI platform. Generate API tokens, test models, monitor usage, and access OpenAI-compatible endpoints.
Live
OpenQuery
AI-powered document intelligence platform. Upload documents, classify with AI, generate embeddings, and create public query spaces for semantic search.
One account for every Kent Wynn product
Sign in once with GitHub or Google — your identity works across the entire platform.
Blog
Latest Writing
Embeddings & Vector Search
Chunk Boundaries and Retrieval Quality: Hidden Pitfalls in Embedding Search
Discover how chunk boundaries and metadata filters can silently degrade embedding search results in production systems. Learn practical strategies to avoid these pitfalls.
May 6, 2026
Software Architecture
Decoupling AI Logic: When to Isolate Model Calls Behind Internal APIs
Decide where AI logic belongs in your architecture—frontend, backend, or platform layer—with practical examples and tradeoffs for maintainability, observability, and future-proofing.
May 5, 2026
About
A Software & AI Engineer
I'm Kent Wynn, a software and AI engineer who builds systems that think and perform with purpose. My work spans from front-end design to backend logic and AI infrastructure — all focused on speed, clarity, and real-world function.
Currently a Lead Software Engineer at LSEG Data & Analytics in Bangkok, working on enterprise-scale AI-augmented systems including World Check Next Gen, Name Matcher, and low-code data curation platforms.
- Agentic AI & LangChain/LangGraph
- RAG & Hybrid Retrieval
- OpenAI-Compatible APIs
- React / TypeScript / Next.js
- FastAPI & Python Backend
- Docker & Kubernetes
8+Years EngineeringEnterprise & AI systems
2×LSEG StackathonPlatinum & Gold awards
MSInformation TechGPA 3.86 — AU Thailand
2IEEE / ACM PapersPublished 2017
Support
Help build open, independent AI
I'm building AI systems that stay private, fast, and affordable. Your support helps keep this work alive — funding development, hosting, and free access for everyone who wants to build with AI.