SERVICES / AI & RAG DEVELOPMENT
AI systems that answer from your knowledge.
Build AI applications using OpenAI, embeddings, vector search, pgvector, structured outputs, and RAG pipelines for grounded, knowledge-based answers.
WHAT THIS COVERS
Built as one system.
- RAG pipelines that search your knowledge base before the model generates a word.
- OpenAI integration with structured outputs your application can render reliably.
- Vector search with pgvector — embeddings, similarity retrieval, and hybrid fallbacks.
- Content moderation and conversation memory built into the pipeline.
- AI extraction that turns raw documents into structured, validated records.
OPENAI · GEMINI · EMBEDDINGS · PGVECTOR · POSTGRESQL · FASTAPI
RETRIEVAL FIRST, GENERATION SECOND
PROOF
Built, shipped, and documented.
A full RAG system — pgvector search across 36,819 embeddings, GPT-4o structured outputs, and a 14-stage retrieval pipeline.
Explore the ReadMindMe RAG platform →
Gemini structured extraction turning raw legal documents into validated records inside a 42-workflow n8n backbone.
See AI extraction inside the automation platform →
The full project explorer, filterable by AI — inspect the systems behind the claims.
Explore all AI and RAG projects →
Want AI grounded in your data?
RAG, embeddings, structured outputs — I'll help you figure out what your product actually needs.