//Custom GPTs & RAG Systems
AI that knows your business.
Retrieval-augmented systems and custom GPTs grounded in your own documents and data — accurate, cited, and private.
01What's broken without us
Generic models don't know your policies, products, or history — and they hallucinate. Your knowledge is trapped in PDFs, wikis, and people's heads.
02Our approach — the Forge Method, applied
- 01Blueprint the knowledge sources, access rules, and accuracy bar.
- 02Prototype retrieval quality on real questions before scaling.
- 03Forge ingestion pipelines, vector stores, and grounded generation with citations.
- 04Harden with evals, access control, and a refresh pipeline.
//Capabilities
- Custom GPT configuration & deployment
- RAG knowledge-base architecture
- Document ingestion pipelines
- Semantic & hybrid search
- AI over your internal data
- Vector DB setup (Pinecone, Weaviate)
- Fine-tuning & prompt engineering
- Multi-source knowledge retrieval
//Tech stack
- Pinecone
- Weaviate
- pgvector
- OpenAI
- Claude
- LlamaIndex
//Outcomes
What you can expect
Cited
answers, not guesses
Private
your data stays yours
Always fresh
auto-reindexed
//FAQ
Questions, answered straight
We ground answers in retrieved sources, return citations, constrain the model to known context, and run retrieval evals so accuracy is measured, not assumed.
//Next stepLock your build window.