🔗 Enterprise RAG

RAG Pipeline
Services

Advanced Retrieval-Augmented Generation Systems for Enterprise

Transform your data into intelligent responses with Google Cloud Vertex AI RAG Engine - combining large language models with your proprietary data for enterprise-ready AI systems

☁️
Google Cloud Premier Partner
Specialized in Vertex AI and enterprise AI solutions
Enterprise
Ready
RAGAS
Evaluation
GCP Native
Architecture
Core Deliverables

What We Deliver

End-to-end RAG pipeline components designed for enterprise scalability and performance

📚

Document Processing

Intelligent ingestion and processing of PDFs, Word documents, spreadsheets, and web content with advanced chunking strategies.

Multi-format document parsing
Semantic chunking algorithms
Metadata extraction
Content deduplication
🔍

Vector Search Engine

High-performance semantic search using state-of-the-art embedding models and vector databases.

OpenAI, Cohere, custom embeddings
Pinecone, Weaviate, Chroma integration
Hybrid search (semantic + keyword)
Real-time index updates
🧠

LLM Integration

Seamless integration with leading language models for context-aware response generation.

GPT-4, Claude, Gemini, Qwen models
Context window optimization
Response quality monitoring
Hallucination detection
💬

Corporate Chatbots with Confluence

Intelligent conversational systems that transform internal Confluence documentation into AI assistants for employees.

Native Confluence connectors
Real-time indexing of pages & spaces
Contextual chatbots for internal queries
Permissions & content access support
Slack, Teams integration

Production Pipeline

Enterprise-ready RAG systems with monitoring, scaling, and continuous improvement.

Auto-scaling infrastructure
Response time optimization
Usage analytics & monitoring
A/B testing framework
Technology Stack

Our RAG Technology Stack

Enterprise-grade technologies powering our advanced RAG solutions with best-in-class performance and reliability

🗄️

Vector Databases

Pinecone Weaviate Chroma Qdrant Vertex AI Vector Search
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AI Frameworks

LangChain LlamaIndex Haystack DSPy
☁️

Google Cloud Platform

PRIMARY FOCUS
Vertex AI RAG Engine Vertex AI Vector Search Dialogflow CX Agent Builder AgentSpace Vertex AI Playbooks Document AI Gemini Pro/Ultra
🌐

Other Cloud Technologies

AWS Bedrock Azure OpenAI Oracle Cloud Hugging Face Replicate

AI Models

Pydantic AI GPT-4 Turbo Claude 3.5 Sonnet Gemini Pro Qwen 2.5
📊

Evaluation & Monitoring

EVALUATION DRIVEN
RAGAS TruLens LangSmith Phoenix Proprietary Metrics
Success Stories

RAG Use Cases We've Built

Real-world RAG implementations delivering measurable business value across industries

🏢

Enterprise Knowledge Base

Internal documentation, policies, and procedures accessible through natural language queries, enabling instant knowledge discovery across organizational silos.

📋

Customer Support AI

Automated support systems that provide accurate answers from product documentation and FAQs, reducing response times by 90% while maintaining high accuracy.

📊

Research Assistant

Academic and business research tools that synthesize information from large document collections, accelerating research workflows and improving insights quality.

⚖️

Legal Document Analysis

Contract analysis, legal research, and compliance checking systems that process complex legal documents with precision and speed, reducing manual review time.

GCP Architecture

🏗️ How We Build RAG Systems with Google Cloud Vertex AI

We leverage Google Cloud Vertex AI RAG Engine to build enterprise-ready RAG systems, following best practices and validated architectures from Google Cloud.

📥

1. Data Ingestion with Vertex AI

Data intake from multiple sources using native Google Cloud connectors for seamless enterprise integration.

Google Drive, Cloud Storage, BigQuery integration
Confluence, SharePoint, and enterprise systems
Custom APIs for proprietary data sources
Batch and real-time data ingestion pipelines
🔄

2. Data Transformation & Chunking

Data processing and transformation for optimal indexing with intelligent content structuring.

Document parsing with Google Document AI
Intelligent chunking strategies for optimal context
Metadata extraction and enrichment
Content deduplication and quality filtering
🧠

3. Embedding Generation

Semantic embeddings generation with Vertex AI models for advanced understanding and retrieval.

Google Vertex AI Text Embeddings API
Multimodal embeddings for text, images, video
Custom embeddings for specialized domains
Optimization for advanced semantic search
🗃️

4. Vertex AI Vector Search Indexing

Creating optimized indexes with Vertex AI Vector Search for lightning-fast retrieval performance.

Scalable vector database with Vertex AI Vector Search
Approximate Nearest Neighbor (ANN) for performance
Hybrid search: semantic + keyword matching
Real-time index updates and versioning
🔍

5. Intelligent Retrieval

Advanced contextual search with Vertex AI RAG Engine for precise information retrieval.

Multi-turn conversation context preservation
Query expansion and intent understanding
Machine learning relevance scoring
Dynamic context window optimization

6. Response Generation

Response generation with Gemini and Vertex AI models for accurate, contextual answers.

Gemini Pro/Ultra for complex responses
Context-aware response generation
Citation and source attribution
Response quality validation
Enterprise Capabilities

🏢 Enterprise Capabilities with Google Cloud

💬

Dialogflow CX Integration

Advanced conversational chatbots with Dialogflow CX for natural multi-turn experiences

🧩

Agent Builder & AgentSpace

Rapid AI agent construction with Google Cloud Agent Builder and deployment in AgentSpace

📘

Vertex AI Playbooks

Automated workflows and playbooks for complex business processes

🛡️

Enterprise Security

VPC-SC, CMEK encryption, IAM integration for enterprise security

🌍

Multi-Region Deployment

Deployment in us-central1, us-east4, europe-west3/4 for optimal latency

📈

Monitoring & Observability

Cloud Monitoring, Logging, and Tracing for complete observability

Our Key Differentiator

Evaluation-Driven
Approach

We focus on rigorous evaluation of RAG systems, pioneering the development of proprietary metrics and techniques for measuring AI performance that deliver measurable business value.

📊

RAGAS Framework

Advanced implementation of the RAGAS framework for automated RAG system evaluation with industry-leading precision.

Context precision and recall metrics
Answer relevancy scoring
Faithfulness evaluation
Response completeness assessment

Proprietary Evaluation Techniques

Internally developed algorithms for comprehensive RAG quality assessment that go beyond standard metrics.

Advanced semantic similarity scoring
ML-powered hallucination detection
Context relevance optimization
Multi-dimensional quality metrics
📈

Continuous Improvement Loop

Continuous improvement systems based on evaluation feedback for ever-evolving performance optimization.

Real-time performance monitoring
Automated model retraining
A/B testing for optimizations
User satisfaction tracking
🎛️

Evaluation Dashboards

Visual interfaces for real-time RAG performance monitoring with actionable business intelligence.

Live performance metrics
Alerting for degradations
Comparative analysis tools
ROI and business impact metrics
🏆 Critical Success Factor

Why Evaluation Is Critical?

Most RAG solution providers focus only on implementation. We go further with continuous evaluation that ensures long-term success:

85%
of RAG systems fail due to lack of continuous evaluation
3x
better performance with our continuously evaluated systems
99.2%
accuracy in hallucination detection with our techniques
🇪🇺 EU AI Act Compliance

EU AI Act Compliance Consulting

Navigate the EU Artificial Intelligence Act with confidence. CRIA provides comprehensive consulting services to help businesses understand, implement, and maintain compliance with Europe's groundbreaking AI regulations.

⚖️
EU AI Act Specialists
First comprehensive AI regulation globally

Our EU AI Act Compliance Services

Comprehensive consulting services covering all aspects of EU AI Act compliance

📋

AI Risk Assessment & Classification

Comprehensive evaluation of your AI systems to determine risk categories under the EU AI Act.

Unacceptable Risk identification and mitigation
High-Risk AI system classification
Limited Risk transparency obligations
General Purpose AI (GPAI) evaluation
🛡️

Compliance Framework Implementation

End-to-end implementation of EU AI Act requirements tailored to your organization.

Quality Management System (QMS) development
Risk management procedures
Data governance and quality assurance
CE marking preparation
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AI System Auditing & Monitoring

Continuous monitoring and auditing services to ensure ongoing compliance.

Automated compliance monitoring
Bias detection and fairness evaluation
Transparency reporting
Post-market surveillance
📚

Staff Training & AI Literacy

Comprehensive training programs to ensure your team understands AI Act requirements.

Executive briefings on AI Act implications
Technical team training
AI literacy programs (Article 4)
Ongoing regulatory updates

Cross-Border Compliance Strategy

Navigate international AI regulations and ensure global compliance alignment.

Multi-jurisdiction regulatory mapping
US AI Executive Order alignment
UK AI governance integration
Global AI ethics best practices

AI Regulatory Sandbox Support

Guidance for participating in EU Member State AI regulatory sandboxes.

Sandbox application preparation
Innovation-friendly compliance
Controlled testing environment
Regulatory dialogue facilitation

📅 EU AI Act Implementation Timeline

Key dates and milestones for EU AI Act compliance - plan ahead to ensure readiness

Aug 2024

AI Act Entered into Force

The EU AI Act officially became law, starting the implementation countdown.

✅ COMPLETED
Feb 2025

Prohibited AI Practices Ban

Unacceptable risk AI systems officially banned across the EU.

🔥 ACTIVE NOW
3
Aug 2025

GPAI Model Obligations

General Purpose AI model providers must comply with systemic risk obligations.

4
Aug 2026

High-Risk AI Compliance

All high-risk AI systems must meet full EU AI Act requirements.

🏁
Aug 2027

Full Implementation

Complete EU AI Act enforcement across all AI system categories.

FINAL DEADLINE
Why Choose CRIA

🏆 Your Trusted RAG Partner

Deep technical expertise combined with practical AI implementation experience

Specialized Expertise

Deep understanding of RAG architecture combined with practical AI implementation experience across industries

🛠️

Technical Implementation

Not just consulting - we build the complete technical solutions needed for production-ready RAG systems

🌐

Global Perspective

Multi-cloud approach ensuring scalability and compliance across international markets and regulations

📈

Business-First Approach

Compliance strategies that enhance rather than hinder your business objectives

Ready to Ensure EU AI Act Compliance?

Don't wait until deadlines approach. Start your compliance journey today with CRIA's expert guidance.

📋
Free Initial Consultation
30-minute assessment of your AI systems and compliance needs
Get Started

Ready to Build Your RAG Pipeline
with Google Cloud?

Let's discuss how we can transform your data into intelligent AI systems using Vertex AI RAG Engine and the Google Cloud ecosystem for enterprise-ready solutions.

Google Cloud Premier Partner
Expertise in Vertex AI, Dialogflow CX, and Agent Builder