I will build a rag pipeline and ai document extraction system


Über diesen Service
Stop searching through piles of PDFs. I will build an AI pipeline that reads your documents, pulls out the data you need, and lets you or your team ask questions and get accurate answers with sources.
What you get:
- AI document extraction: invoices, receipts, contracts, forms and scans turned into clean JSON, CSV or database rows
- OCR for scanned and image-based files
- RAG pipeline: document chunking, embeddings, vector database (Pinecone, Qdrant, pgvector or Chroma) and retrieval
- Chatbot or API that answers questions with source citations
- Built with Python or TypeScript, using OpenAI, Claude or open-source models
- Clean, commented code and a README
Good fit for founders, finance and operations teams, legal teams and SaaS products that need to automate document work or add an AI knowledge base.
Before ordering, send me a few sample documents (redacted if needed), the fields or questions you care about, and where it should run. I will confirm scope and price before you buy.
Lerne Nanak Seth kennen
AI Agent and MCP Server Developer
- AusIndien
- Mitglied seitAug. 2019
- ⌀ Antwortzeit1 Stunde
- Letzte Lieferung3 Jahre
Sprachen
Hindi, Englisch
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FAQ
Which document types can you extract data from?
Invoices, receipts, contracts, forms, reports and scanned PDFs or images. Send a few samples and I will confirm the accuracy I expect before you order.
Will my documents stay private?
Yes. I can build with your own API keys, a private cloud or a self-hosted open-source model so data stays under your control. I will sign an NDA if you need one.
Which AI models and vector databases do you use?
OpenAI, Claude or open-source models, with LangChain or LlamaIndex, and Pinecone, Qdrant, pgvector or Chroma. I pick what fits your data, budget and privacy needs.

