RAG Development
Company

RAG (Retrieval-Augmented Generation) is AI that retrieves relevant information from your documents or databases before answering questions — giving accurate, source-backed answers instead of hallucinated responses. XPndAI builds RAG systems for internal knowledge bases, customer support, legal research, medical knowledge, product documentation, and financial compliance.

RAG system development at XPndAI starts from ₹8–15L for a focused knowledge base with one document corpus, ₹20–50L for a multi-source enterprise RAG with access controls, and ₹60L–1.5Cr for a full AI knowledge platform with custom embeddings, fine-tuning, and enterprise deployment. Fixed-price.

A RAG system on existing documents takes 4–6 weeks including ingestion, embedding, retrieval tuning, and UI. A multi-source enterprise RAG with access control, audit logs, and API takes 8–12 weeks. XPndAI delivers a working search demo on your own documents in Week 2.

XPndAI RAG is built for accuracy on proprietary data — not public knowledge. We custom-tune chunking strategies, embedding models, and retrieval algorithms for your specific document types (legal contracts, medical records, technical manuals). We also implement citation — every answer shows exactly which source document it came from.

Yes. XPndAI RAG ingests PDF, Word, Excel, PowerPoint, HTML, plain text, and scanned documents (via OCR preprocessing). We handle tables, figures, and complex layouts that standard chunking approaches miss. Documents update in real time as your team adds new content.