James Murray is 18 years sober and has spent more than 40 years building software systems, search platforms, and data-driven products. His work sits at the intersection of addiction recovery, AI-driven vector search, and practical engineering that actually ships, runs in production, and helps real people.

James combines lived experience in addiction and recovery with deep technical expertise. That mix drives the design of platforms like AddictionTube, vector-powered semantic FAQ engines, AI rehab automation suites, and multi-namespace content indexes for poems, stories, and songs. His primary goal: build tools that reduce noise, surface what matters, and support recovery decisions with trustworthy information.

Sober Leadership & Recovery Work

After hitting bottom and rebuilding his life, James committed to long-term sobriety and has maintained 18+ years clean. That experience informs everything he designs—especially systems meant for families in crisis, people looking for treatment, and clinicians trying to make better decisions under pressure.

• Designs recovery tools that prioritize clarity, safety, and non-chaotic information flow.
• Builds AI systems that respect context: trauma, family dynamics, relapse risk, and hope.
• Focuses on long-term sustainability, not quick hacks or vanity dashboards.

40+ Years in Software & AI Systems

James has been writing code and shipping products since the early PC era. Over the decades he has worked across:

• Systems programming & databases: early DOS and Windows software, custom databases, reporting tools.
• Web platforms: PHP, Python, JS/Three.js, custom CMS-less architectures, and high-traffic content sites.
• AI & vector search: embeddings, RAG pipelines, multi-namespace indexes, crypto analytics, and semantic SEO.

Today his focus is on vector-native search: using embeddings and RAG microservices to replace brittle keyword search with semantic understanding—especially in sensitive domains like recovery and healthcare-adjacent content.

Vector Intelligence & Future of Search

James views vector search as the backbone of the next era of the web. Instead of clicking through endless blue links, people will query unified knowledge systems that understand meaning, not just keywords. His projects explore that future:

• Neural Portfolio Galaxy: a 3D knowledge graph for projects and skills.
• Semantic FAQ engines: vector-powered answer systems with citations and safety guardrails.
• Unified content indexes: stories, songs, poems, and FAQs in one semantic layer.

What James Works On Now

Current work focuses on:

• AI search and RAG systems for addiction recovery and mental health support.
• Programmatic SEO architectures powered by vector databases instead of fragile keywords.
• Crypto and macro analysis tools that fuse charts, on-chain data, and social signals into clear, ranked insights.

If you want to collaborate on recovery technology, vector search, or next-generation AI search experiences, this site and the linked projects are a good place to start exploring.