- Answers strictly from your docs
- Zero fluff
- Direct source document links
- Citations
- Private cloud deployment
- SOC2 secure
- Starting price
- From ₹1L
What is Retrieval-Augmented Generation (RAG) for business?
Retrieval-Augmented Generation (RAG) connects large language models directly to your company's private documents, contracts, codebases, and databases. WebMarv builds secure RAG systems that provide instant, accurate answers with direct source citations and zero hallucinations.
- Part of
- AI Software Engineering
- Best for
- Enterprises with vast internal documentation, policy manuals, and technical archives
- Starts from
- ₹1L
- First step
- Free audit
The friction
Sound familiar? Enterprise RAG & Semantic Search fixes this.
Employees waste hours searching through scattered PDFs, Google Docs, and intranet folders.
Public ChatGPT cannot access your proprietary internal manuals and client contracts.
Standard AI chatbots hallucinate wrong answers because they lack ground-truth data.
What's included
What Enterprise RAG & Semantic Search covers. Pick one piece or the whole set.
Included in the work
- Document ingestion pipeline parsing PDFs, Word documents, Notion, and databases
- Advanced semantic chunking and dense vector embedding generation
- High-performance vector database deployment (Pinecone, Qdrant, pgvector)
- Hybrid search (BM25 keyword + dense semantic vector) with re-ranking models
- Strict hallucination guardrails requiring direct source document citations
- Enterprise access control ensuring users only query documents they have permission to view
How it works
Four steps. No guesswork.
- 01
Free scoping
We map your operations, users and goals before any design.
- 02
Plan and quote
You get the scope, tech stack, timeline and price in writing.
- 03
Build in releases
You review working software every release, not only at the end.
- 04
Launch and support
We deploy, monitor and keep improving it after go-live.
Is it a fit?
Right for you. Or not. We will say which.
A good fit if you are
- Enterprises with vast internal documentation, policy manuals, and technical archives
- Legal, healthcare, and engineering firms requiring 100% cited, verifiable answers
- Customer support teams wanting an instant answer engine for complex product queries
Pricing
What does it cost?
From ₹1L
Every solution is scoped around your business, complexity and the outcomes you need. We quote after a free audit.
SCOPE & PRICING DETERMINANTS
- 01Number of screens, features and user roles
- 02Integrations with payments, CRM or other systems
- 03How fast you need to launch
Our promises
What you can count on.
Free audit first
We look at your current setup before we quote. There is no obligation to go ahead.
Price in writing
Scope, price and what you get are written down before any work starts.
You own the work
The code and content we build for you are yours. Ownership is in the agreement.
Straight answers
If an existing tool or a smaller fix will do, we tell you. Even when it is not a WebMarv project.
Short releases
You see working software as it is built, so nothing is a surprise at launch.
Identify your biggest revenue leak in 30 minutes.
FAQ
Enterprise RAG & Semantic Search questions
Not answered here? Ask us directly.
How does RAG prevent AI hallucinations?
Instead of relying on the LLM's memory, RAG searches your private documents first, retrieves the exact relevant paragraphs, and instructs the LLM to formulate an answer strictly from those excerpts with citations.
Is our confidential business data safe?
Yes. We deploy private RAG pipelines using enterprise SOC2-compliant APIs or self-hosted open-source models inside your own AWS/GCP cloud environment. Your data is never used to train public models.
What document formats can the RAG system read?
PDFs, Word documents, Excel spreadsheets, scanned images via OCR, markdown, Notion pages, and SQL databases.
Can it handle technical terminology and industry jargon?
Yes. We fine-tune domain-specific embedding models and hybrid re-rankers to understand specialized medical, legal, or engineering vocabulary.
How much does WebMarv charge for enterprise RAG development?
WebMarv's enterprise RAG development work is part of Software Engineering, which starts from ₹1L. The final price depends on scope and is agreed in writing after a free audit.
How do I get started with enterprise RAG development?
Book a free audit. We review your current setup, then send a written plan and quote. There is no obligation to go ahead.