RAG Implementation India
RAG implementation connects LLM answers to approved documents or knowledge sources. It is useful for internal knowledge search, support Q&A, policy lookup, product information, and document-heavy workflows.
Who it is for
This is for businesses with documents, policies, product data, SOPs, support material, or internal knowledge that staff need to search or use consistently.
What problem it solves
It reduces time lost searching documents, inconsistent answers, repeated support questions, and manual drafting from approved knowledge.
What gets installed
A setup can include API integration, document preparation, retrieval configuration, prompts, answer rules, privacy boundaries, testing, human approval flows, and handover documentation.
What affects pricing
Pricing depends on workflow complexity, number of users or branches, integrations, data readiness, approval rules, reporting needs, and whether support after handover is required.
Fixed setup vs custom work
If your need matches a fixed pack, The Neural Grid uses that scope and starting price. If the workflow needs custom logic, integrations, private data, or multiple departments, the work is quoted after a scope check.
What is not included
Certified enterprise compliance, regulated advice, model training claims, and use of private data without an approved scope are not included by default.
What to prepare before setup
Prepare the current process, sample data, existing tools, required approvals, access owner, escalation rules, and the team member who will receive handover.