RAG System Architecture and Deployment
RAG system setup India · knowledge base AI India · AI document search India · vector database India
Services in This Area
Each area below is a discrete service built, integrated, and operated by Kynato.
Knowledge Base Ingestion and Structuring
Kynato builds the document ingestion pipeline for your RAG system — parsing PDFs, Word files, Excel sheets, and emails, applying the right chunking strategy for retrieval accuracy, and indexing everything into your vector database.
ExploreHybrid Retrieval Pipeline (Semantic + Keyword)
Kynato configures the hybrid retrieval layer of your RAG system — combining semantic vector search with BM25 keyword retrieval and adding a re-ranking layer to maximise answer accuracy across all query types.
ExploreDomain-Tuned Embedding Models
Kynato fine-tunes embedding models for your domain — adapting them to legal, accounting, or compliance-specific language so that retrieval accuracy remains high even for domain-specific terminology and regulatory language.
ExploreSource Attribution and Hallucination Rate Benchmarking
Kynato implements source attribution and confidence scoring in your RAG system — creating a citation chain for every answer and scoring confidence to flag low-certainty responses before they reach end users.
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Demand Generation
Inbound Lead Architecture
Outbound and Paid Acquisition
AI Lead Scoring, Nurturing, and Qualification
Knowledge & Applied AI
Custom RAG Systems and AI Knowledge Base
AI Assistant Deployment
Document Intelligence and Specialised Search
Agentic Automation
Agentic Workflow Design and Deployment
Core Business Automation
Conversational and Omnichannel Automation
Intelligence & Analytics
Unified Search Intelligence and SEO Analytics
AI Visibility Tracking and Brand Citation Intelligence
Business Performance Analytics and Revenue Intelligence
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