RAG & Document AI
Your knowledge is locked in PDFs, drives and wikis. We make it searchable and usable — with answers that cite the source, and structured data extracted automatically.
Business outcomes
- Find answers across thousands of documents in seconds
- Cut manual data entry from invoices, forms and KYC documents
- Keep sensitive data inside your own cloud
What you get
- Document ingestion, OCR and chunking pipeline
- Vector / hybrid search setup
- Q&A interface with citations and access control
- Extraction to JSON / Excel / your database
- Accuracy benchmarks on your real documents
Use cases
Enterprise knowledge assistant
Staff ask questions across SOPs, HR policies and product manuals.
Invoice & form processing
Extract line items, totals and fields into your ERP with validation.
Contract review
Flag clauses, obligations and renewal dates across a contract library.
Technology
pgvector / Qdrant / PineconeHybrid search & re-rankingOCR (Tesseract, cloud OCR)PythonPostgres
FAQ
Is our data used to train public AI models?
No. We use API tiers and deployment options where your data is not used for training, and can run fully inside your own cloud or on open-source models.
What document types can you handle?
PDFs (including scanned), Word, Excel, emails, web pages, images and handwritten forms with OCR.
Let's scope your rag & document ai project
Book a free 30-minute call. We'll tell you honestly what AI can do for your use case — and what a proof of concept would take.