Orchestrate Intelligence with
Agentic RAG
Build, deploy, and scale autonomous AI agents that collaborate to solve complex enterprise challenges. The first platform designed for the next generation of cognitive computing.
Platform Capabilities
Everything you need to build production-ready agentic systems.
Multi-Agent Orchestration
Coordinate specialized agents that work together to solve complex problems. Our intelligent router automatically delegates tasks to the most capable agent based on context and capability.
MCP Native
Built on the Model Context Protocol for standardized tool integration.
Real-time RAG
Sub-millisecond vector retrieval with dynamic context window management.
Enterprise Security
Built with industry-standard security protocols and granular permission controls. Ensure your data remains secure while leveraging the power of LLMs.
System Architecture
Modular design for infinite scalability.
Industry Applications
Legal Analysis
Automate contract review and precedent research with specialized legal agents.
Financial Research
Real-time market analysis and report generation using multi-source data aggregation.
Customer Support
Tier 2+ support automation with agents that can take action, not just chat.
Platform Features
Built for developers, designed for users.
MCP Server Integration
Seamless integration with Model Context Protocol servers for standardized AI tool communication.
Easy Tool Mapping
Intuitive interface for mapping and configuring AI tools without complex coding requirements.
Clean Architecture
Modular, scalable architecture built on modern design principles for maintainability and performance.
Intuitive UI
User-friendly interface designed for both technical and non-technical users to interact with AI agents.
Use Cases
Transforming industries with intelligent AI agents.
Enterprise Knowledge Management
Intelligent document retrieval and analysis across organizational knowledge bases with context-aware responses.
Customer Support Automation
Multi-agent systems that understand context, retrieve relevant information, and provide accurate support responses.
Research & Development
Accelerate R&D with intelligent agents that can search, analyze, and synthesize information from multiple sources.
Legal & Compliance
Navigate complex legal documents and regulations with AI agents that understand context and relationships.
Healthcare Information Systems
Secure, compliant AI systems for medical records, research papers, and patient care coordination.
Financial Analysis
Real-time market analysis, risk assessment, and intelligent financial document processing.
Technology Stack
Built with industry-leading technologies.
Vector Databases
LLM Integration
Agent Framework
Protocols & API
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Transform your operations with cutting-edge AI automation. Our experts will guide you through every step of your digital transformation journey.
Free 30-minute consultation
Expert guidance to kickstart your AI journey
Custom AI strategy roadmap
Tailored plan for your business needs
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Frequently Asked Questions
Common questions about our services and technology.
What is agentic RAG and how does it work?
Agentic RAG (Retrieval Augmented Generation) is an advanced AI architecture that combines autonomous AI agents with real-time knowledge retrieval. Unlike traditional RAG systems that simply retrieve and generate responses, agentic RAG uses specialized AI agents that can reason, plan, and execute multi-step tasks. Each agent has access to tools, memory, and retrieval capabilities, enabling it to break down complex queries, fetch relevant information from vector databases and enterprise knowledge bases, synthesize insights across multiple sources, and take autonomous actions. At Iedeo, our agentic RAG platform orchestrates multiple specialized agents working collaboratively to deliver accurate, context-aware responses grounded in your enterprise data.
How much does a multi-agent AI platform cost in India?
The cost of building a multi-agent AI platform in India varies based on complexity, scale, and integration requirements. At Iedeo, our agentic RAG solutions typically range from INR 5,00,000 to INR 25,00,000 for mid-sized enterprise deployments. A basic single-agent RAG system with document retrieval starts around INR 3,00,000, while a full multi-agent orchestration platform with custom tool integrations, MCP protocol support, enterprise security, and production-grade infrastructure can range from INR 15,00,000 to INR 40,00,000. We offer flexible engagement models including fixed-price MVPs starting at INR 4,50,000 that can be delivered within 45 days. Contact us for a detailed cost estimate tailored to your specific use case and scale requirements.
What is the difference between RAG and agentic RAG?
Traditional RAG follows a simple retrieve-then-generate pipeline: a user query triggers a vector search, relevant document chunks are retrieved, and an LLM generates a response using those chunks as context. Agentic RAG goes significantly further by adding autonomous agent capabilities on top of the retrieval pipeline. Key differences include: (1) Multi-step reasoning — agentic RAG agents can decompose complex queries into sub-tasks and execute them sequentially; (2) Tool usage — agents can call APIs, query databases, run calculations, and interact with external systems beyond just document retrieval; (3) Memory and context — agents maintain conversation history and working memory across interactions; (4) Orchestration — multiple specialized agents collaborate, with a router or orchestrator delegating tasks to the most capable agent; (5) Self-correction — agents can evaluate their own outputs, retry with different strategies, and validate answers before responding.
Can agentic RAG work with my existing enterprise systems?
Yes, our agentic RAG platform is designed for seamless integration with existing enterprise infrastructure. We support connectivity with popular databases (PostgreSQL, MongoDB, MySQL, Oracle), cloud storage (AWS S3, Google Cloud Storage, Azure Blob), enterprise applications (Salesforce, SAP, ServiceNow, SharePoint), communication tools (Slack, Microsoft Teams, email systems), and custom APIs via REST or GraphQL. Our platform uses the Model Context Protocol (MCP) standard for tool integration, making it straightforward to connect new data sources and services. During the discovery phase, our team conducts a thorough audit of your existing systems, identifies integration points, and designs a custom connector architecture. We also support on-premise deployment for organizations with strict data residency requirements, ensuring your sensitive enterprise data never leaves your infrastructure.
How long does it take to deploy a multi-agent AI system?
Deployment timelines for a multi-agent AI system depend on the scope and complexity of the project. At Iedeo, a basic agentic RAG system with a single knowledge base and 2-3 specialized agents can be deployed in 4-6 weeks. A mid-complexity platform with multiple data source integrations, custom agent workflows, and enterprise security features typically takes 8-12 weeks. Large-scale enterprise deployments with extensive system integrations, custom model fine-tuning, compliance requirements, and multi-environment setup can take 12-20 weeks. Our 45-day MVP program is specifically designed for organizations that want to validate the agentic RAG approach quickly — we deliver a production-ready system with core capabilities that can be iteratively expanded. Every deployment includes knowledge base ingestion, agent configuration, RAG pipeline optimization, testing, and production rollout with monitoring.
Leading Agentic RAG Platform Development in India
Iedeo is a pioneering agentic RAG platform India provider, delivering enterprise-grade multi-agent AI systems that transform how organizations access, process, and act on their knowledge assets. Based in Chennai with a team of AI engineers, data scientists, and full-stack developers, we specialize in building autonomous AI agents that go beyond simple question-answering to execute complex, multi-step business workflows powered by retrieval augmented generation India technologies.
Our multi-agent AI system development practice combines cutting-edge research in large language models, vector databases, and agent orchestration frameworks to create platforms that deliver measurable business impact. With over 50 successful AI deployments across healthcare, finance, legal, manufacturing, and education verticals, we bring deep domain expertise to every engagement. Our clients have reported an average 40% reduction in knowledge retrieval time and a 65% improvement in response accuracy after deploying our agentic RAG solutions (Source: Iedeo internal project data, 2024-2025).
Why Choose Iedeo as Your RAG Development Company in Chennai
As a dedicated RAG development company Chennai, Iedeo brings a unique combination of technical depth and business acumen to every project. Our engineering team has hands-on experience with leading AI frameworks including LangChain, LlamaIndex, CrewAI, and AutoGen, along with production deployments on vector databases like Pinecone, Weaviate, Chroma, and Qdrant. We architect systems that handle millions of document chunks with sub-200ms retrieval latency, ensuring your enterprise AI agents India deployment performs at scale. (Source: NASSCOM Strategic Review 2024)
What sets us apart from other AI development firms is our focus on the Model Context Protocol (MCP) standard for tool integration. This ensures your multi-agent platform is not locked into a single LLM vendor but can seamlessly work with OpenAI GPT-4, Anthropic Claude, Google Gemini, Mistral, and open-source models like Llama and Qwen. Our MCP-native architecture means adding new tools, data sources, and capabilities to your agents requires configuration rather than custom code, dramatically reducing time-to-value and ongoing maintenance costs.
Enterprise AI Agents India: Production-Grade Autonomous Systems
Building enterprise AI agents India requires more than just connecting an LLM to a document store. Our autonomous AI agents development methodology encompasses comprehensive guardrails, role-based access control, audit logging, prompt injection protection, and real-time monitoring dashboards. Every agent we deploy includes built-in hallucination detection, source attribution, and confidence scoring so your team can trust the outputs in mission-critical scenarios.
Our enterprise deployments typically include a multi-tier agent architecture: retrieval agents that specialize in finding and ranking relevant information, reasoning agents that synthesize insights and draw conclusions, action agents that execute workflows and update systems, and an orchestrator agent that routes queries, manages handoffs, and ensures task completion. This modular design allows organizations to start with a focused use case and expand capabilities incrementally without redesigning the core platform.
AI Knowledge Management System for Modern Enterprises
An effective AI knowledge management system must handle diverse data formats, maintain real-time synchronization with source systems, and deliver contextually relevant information to the right stakeholders at the right time. Iedeo's agentic RAG platform ingests and indexes data from PDFs, Word documents, spreadsheets, presentations, emails, Confluence wikis, Notion databases, SharePoint libraries, Slack conversations, and structured databases into a unified vector knowledge graph.
Our retrieval augmented generation India pipeline uses hybrid search combining dense vector embeddings with sparse BM25 keyword matching, followed by cross-encoder reranking to achieve best-in-class retrieval accuracy. We implement advanced chunking strategies including semantic chunking, parent-child hierarchies, and sliding window approaches tailored to your document types. With automatic metadata extraction, entity recognition, and relationship mapping, our AI knowledge management system enables agents to navigate your organizational knowledge with the same contextual understanding as a senior domain expert.
Cost-Effective Multi-Agent AI System Development
Iedeo offers competitive pricing for autonomous AI agents development without compromising on quality or scalability. Our 45-day MVP program delivers a production-ready agentic RAG system starting at INR 4,50,000, making advanced AI accessible to startups and mid-sized enterprises. Full enterprise deployments with multi-agent orchestration, custom integrations, and dedicated support start from INR 15,00,000. We provide transparent pricing with no hidden costs, and our modular architecture ensures you only pay for the capabilities you need today while retaining the flexibility to scale tomorrow.
Every project includes a free 30-minute AI strategy consultation where our solutions architects assess your use case, recommend an optimal architecture, and provide a detailed cost and timeline estimate. Whether you need a focused document retrieval chatbot or a comprehensive multi-agent AI system development engagement with custom tool integrations and enterprise security, Iedeo is your trusted partner for building intelligent, autonomous AI solutions in India.