LLM & RAG
Your documents become a knowledge base you can query in plain language, with sourced answers.
AI only has value when it's plugged into your reality. I turn your contracts, procedures and records into a base you query in plain language, and every answer cites its sources. No more hours of searching, no more made-up answers.
By the numbers
2 s
for a sourced answer from your documents
100 %
of answers cite their sources
0
made-up answer tolerated in production
What I build
Document RAG
Contracts, procedures, records: your documents become queryable in plain language, with source citations.
RAG · Sourced answers · Semantic search
Search & extraction
Finding, extracting and structuring information buried in your files, emails and databases, at scale.
Extraction · Structuring · pgvector · Qdrant
Model selection and integration
The right model for each task (Claude, GPT, open-source), cleanly plugged into your systems.
Claude · OpenAI · Open-source · MCP
The promise
The right answer, sourced, in seconds.
Before, after
Hours spent searching through your documents
A sourced answer in seconds
Answers you can't verify
Every answer cites its source
The stack
Claude
OpenAI
RAG
pgvector
Qdrant
Embeddings
Reranking
Python
Contact
Ready to build something that matters?
Reply within 24 h · first conversation free with no strings attached.