RAG-Based AI Agents — What They Are and Why Your Business Needs One

Your Bengaluru business has documents—policy handbooks, product specs, internal knowledge. A generic AI cannot search them. A RAG-based AI agent can. RAG (Retrieval-Augmented Generation) means the agent retrieves relevant content from your documents and uses it to answer. Your data, your control. This guide explains what RAG-based AI agents are and why your Bengaluru business may need one in 2026.

In this guide, you will learn what RAG is, how RAG-based AI agents work, and when they fit your business. By the end, you will know whether a RAG-based AI agent is right for you. At Hendoi Technologies, we build AI agents including RAG-based agents for Bengaluru businesses. We help you index your documents and deploy an agent that answers from your content. Contact us for a free consultation.

RAG = Retrieval-Augmented Generation. The agent retrieves relevant chunks from your documents (policies, specs, FAQs) and feeds them to the LLM to generate an answer. The answer is grounded in your content—not generic training data. RAG-based AI agents give your Bengaluru business an agent that knows your documents. Get in touch to discuss what RAG-based AI agents can do for you.

Your documents are chunked and indexed (often with vector embeddings). When a user asks a question, the agent retrieves the most relevant chunks and passes them to the LLM. The LLM generates an answer using that context. Your Bengaluru business gets accurate, source-grounded responses. Contact Hendoi for a consultation. RAG-based AI agents—we build them. Get in touch.

When you have internal knowledge that changes (policies, products, procedures), when generic AI gives wrong or outdated answers, when you want answers grounded in your documents, and when you need source citations. RAG-based AI agents fit these cases. Your Bengaluru business gets an agent that uses your data. Contact us to discuss. RAG-based AI agents—Hendoi delivers. Contact Hendoi.

FAQ bots match questions to predefined answers. RAG-based agents search your full document set and generate answers. More flexible, handles new questions. Your Bengaluru business gets broader coverage with RAG. Get in touch for a recommendation.

Typical cost: ₹1,00,000–₹2,50,000 depending on document volume and complexity. Timeline: 3–5 weeks. Contact us for a quote. Your Bengaluru business gets transparent pricing for RAG-based AI agents. Contact Hendoi.

We build RAG-based AI agents that use your documents correctly. ✔ Bengaluru-based team ✔ AI agent development with RAG ✔ 3+ years serving Bengaluru

If you need a RAG-based AI agent for your Bengaluru business, Hendoi Technologies is ready. Contact us for a free consultation.