Hybrid RAG & Knowledge Fabric

Hybrid RAG Architecture for Accurate, Safe & Scalable AI Knowledge Systems

Implement Mobiloitte's multi-route Green–Amber–Red RAG architecture with hybrid retrieval, domain-aware indexing, LLM reasoning fallback, caching, and policy guardrails — optimized for enterprise accuracy.

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Engagement Models

Choose how you engage with Mobiloitte

Hybrid RAG Architecture

RAG Pipeline Implementation

Domain Knowledge Extraction + Ontology

Evaluation framework setup

Managed RAG Ops (Monitoring + Improvement)

Why Mobiloitte

Full-stack Hybrid RAG expertise

We pioneered the Green–Amber–Red RAG model

550+ enterprise AI implementations

Strong expertise in domain-aware retrievers

Specialized in RAG for multilingual India/UAE markets

Experience with BFSI, Healthcare, GovTech, Manufacturing

Mobiloitte Hybrid RAG (Green → Amber → Red)

From query understanding to channel delivery, Mobiloitte orchestrates every layer for accurate, safe, and scalable AI knowledge systems.

Query Understanding

Intent detection, Domain routing, Confidence scoring

Green Path (Fast Path)

Glossary, FAQs, Rules, Templates, Cached answers. Used when intent is clear.

Amber Path (Hybrid Retrieval)

Multi-index retrieval, Domain retrievers, Dense + sparse fusion, Context ranking, Confidence scoring

Red Path (LLM Fallback)

Used ONLY for complex reasoning. Policy-level guardrails, Logging & audit

Response Optimization Layer

Confidence scoring, Source attribution, Semantic validation

Output to Channels

Web, Mobile, WhatsApp, Slack, IVR/Voice Bots, Internal tools

AI + Blockchain Synergy

Secure, auditable, and autonomous AI knowledge systems

Combine AI-driven intelligence with blockchain-backed trust to secure model identity, create immutable logs, trigger smart contracts, and enable federated learning governance.

What this layer guarantees

Tamper-proof model audit logs and versioning.
Real-time auditability across multi-party workflows.
On-chain access control for model governance.

Blockchain-backed Retrieval Logs

Immutable records of inputs, outputs, retrieval steps, and sources used.

On-chain Knowledge Versioning

Perfect for legal & compliance teams.

Blockchain-verified Content Sources

Prevents unauthorized knowledge injection.

Why Hybrid RAG now?

Why Hybrid RAG Is Essential in 2025

Traditional RAG fails because:

Mobiloitte's Hybrid RAG Architecture delivers end-to-end automation—from query understanding to retrieval to generation to governance—so you can:

Embeddings mismatch real business queries

No "fast path" for known answers

LLM fallbacks are expensive and slow

Retrieval lacks domain understanding

No ranking logic tuned to enterprise workflows

No caching or deduplication

No guardrails for hallucination prevention

Mobiloitte's Hybrid RAG Architecture is engineered for regulated industries, enterprise-grade accuracy, low latency, compliance & auditability, massive scale, and multi-language support.

Core Capabilities of Hybrid RAG

Everything required to build retrieval-native, regulation-friendly AI with enterprise-grade accuracy and governance.

Hybrid Search Engine

Uses vector search, keyword search, BM25, metadata filters, and hybrid fusion ranking to ensure extremely high relevance.

Multi-Layered Retrieval Pipeline

Green → Amber → Red architecture: Green Path (Fast Path) for glossary, FAQs, rules, templates, cached answers. Amber Path (Hybrid RAG) for multi-index retrieval, domain retrievers, dense + sparse fusion, context ranking, confidence scoring. Red Path (LLM Fallback) used ONLY for complex reasoning with policy-level guardrails, logging & audit.

Domain-Aware Retrieval

Special retrievers for Legal, Healthcare, Finance, Logistics, HR, Real estate, Manufacturing. Each uses ontologies, domain embeddings, and domain relevance filters.

Context Caching Layer

Reusable retrieval cache, session-level cache, deduplication of answers. Lowers latency by 40–60%.

Hallucination Guardrails

Policy-based filtering, semantic validation, answer confidence scoring, source citation enforcement.

Evaluation & Continuous Improvement

RAG evaluation datasets, LLM-as-a-judge scoring, golden dataset accuracy refresh, drift detection.

Multi-Channel Deployment

Web, Mobile, WhatsApp, Slack, IVR/Voice Bots, Internal tools.

Ready to Build Enterprise Hybrid RAG?

Let our experts design, deploy, and manage your Hybrid RAG architecture for scalable, reliable AI knowledge systems.

Request Hybrid RAG Demo Get Architecture Blueprint

Technology Comparison

Hybrid RAG vs Plain LLM Calls

The difference between a grounded enterprise assistant and a copy/paste chatbot.

Hybrid RAG Architecture

Multi-layer retrieval with citations, guardrails, and evaluation-driven improvements.

Retrieval mix (vector + keyword + graph)
Citations and source transparency
Policy guardrails & content filters
Evaluation-driven release cycles
Cost-aware routing + caching

Plain LLM API Calls

One-shot responses without knowledge grounding or compliance controls.

No knowledge freshness
Higher hallucination risk
Limited compliance controls
Manual QA for every change
Unpredictable spend per response

Choose the Right RAG Approach

Let our experts help you determine the optimal Hybrid RAG strategy for your specific use case.

Get Expert Consultation

Platform Integrations

Hybrid RAG Architecture Integrations

Connect leading vector databases, search engines, models, and knowledge sources to Mobiloitte's Hybrid RAG fabric.

FAISS · Milvus · Pinecone

Vector databases for semantic search and embeddings

Weaviate · ChromaDB · Redis

Vector stores and in-memory caching for fast retrieval

ElasticSearch · OpenSearch

Full-text search engines with BM25 and hybrid ranking

OpenAI · Gemini · Claude

Large language models for generation and reasoning

Llama · Mistral

Private and open-source LLMs for on-premise deployment

PDFs · Websites · SharePoint

Document and knowledge base connectors

Jira · Confluence · CRMs

Enterprise tools and collaboration platforms

SQL · NoSQL · APIs

Database connectors and API integrations

Need a Custom Integration?

Don't see your platform? We can build custom integrations for any tool or system your team uses.

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Enterprise Security

Enterprise-Grade Security & Compliance

Built for industries where citations, auditing, and privacy are non-negotiable.

PII-Aware Indexing

Automated redaction, tokenization, and attribute-level masking before embeddings.

Request-Level Policy Controls

RBAC, ABAC, and tenant isolation enforced per query.

Audit & Traceability

Full tracing of sources, prompts, model selection, and responses for compliance.

Secure Deployment Footprints

VPC isolation, private networking, and KMS-protected secrets across clouds.

Responsible AI Testing

Bias, toxicity, and safety checks running alongside every release.

Ready to Secure Your AI Knowledge Systems?

Let's design enterprise-grade security guardrails that protect your Hybrid RAG models and data without slowing innovation.

Get Security Assessment

ROI Metrics

Value Propositions

Reference outcomes from deployments of Mobiloitte's Hybrid RAG Architecture.

60–90%

60–90% Reduction in Hallucinations

Automated guardrails and eval loops eliminate unreliable answers.

30–70%

30–70% Latency Improvement

Hybrid routing + caching keeps user experience snappy.

75–95%

75–95% Accuracy Improvement

Domain-aware retrieval and ranking lift enterprise precision over naive RAG.

40–60%

40–60% Reduction in LLM Cost

Caching and selective fallbacks cut inference spend.

Transformation Stories

Hybrid RAG Success Stories

See how enterprises achieve accuracy and compliance with Mobiloitte's Hybrid RAG Architecture.

Enterprise Client

Global Pharma Major

Regulated medical assistant combining validated PDFs, trial data, and graph knowledge with zero PII leakage.

>90% grounded answersCLE compliance ready

Enterprise Client

Fortune 100 Manufacturer

Unified ERP, PLM, and service manuals with Green–Amber–Red RAG powering multilingual shop-floor copilots.

Latency < 600msService tickets -32%

Ready to Create Your Success Story?

Start Your Journey

Hybrid RAG Architecture FAQs

Fast answers to the most common questions about Mobiloitte Hybrid RAG Architecture.

What is Hybrid RAG?

A combination of dense + sparse + domain-aware retrieval with multi-stage fallback logic.

Does Mobiloitte support on-prem RAG?

Yes — ideal for BFSI, healthcare, government.

How expensive is Hybrid RAG to run?

40–60% cheaper than LLM-only systems.

Can it integrate with SharePoint or Confluence?

Yes — connectors available.

Can Hybrid RAG support real-time updates?

Yes — streaming ingestion + reindexing.

How is it different from normal RAG?

Normal RAG is one-shot and unreliable. Hybrid RAG uses multi-layer verification.

Can Hybrid RAG be multilingual?

Yes — supports Indic + Arabic + global languages.

Can the system cite sources?

Yes — citation is enforced in Amber and Red paths.

Does it work with private LLMs?

Yes — Llama, Mistral, Gemini on-prem, etc.

How long is implementation time?

4–12 weeks depending on complexity.

Deploy the World’s Most Reliable Enterprise RAG Architecture

Accelerate accuracy, reduce hallucinations, and ensure trust.

Request Hybrid RAG Demo Get Architecture Blueprint

Grounded, observable, enterprise-grade AI