AI Platform
The Holistic Researcher
AI-powered RAG system that aggregates data from multiple sources, normalizes and structures it, then feeds context into Claude and OpenAI to produce grounded, explainable outputs.
What shipped
- Retrieval pipeline built on vector search with pgvector and embedding generation
- Multi-source ingestion with normalization and structuring before retrieval
- Claude and OpenAI reasoning over retrieved context for grounded answers
- Structured JSON output validation so downstream systems get reliable shapes
Next case studyVoiceOS
Building something similar?
I take on freelance and contract work across AI, full-stack, and backend engineering.
Start a project