Trusted by 12 Fortune 500 Companies
Schedule Demo

Custom RAG Solutions for Every Enterprise Challenge

From initial strategy to production deployment and optimization

50+
RAG systems deployed
98.5%
Average accuracy
60%
Cost reduction

Service Overview

Each card: Icon, title, 200-word description, key benefits, timeline, and pricing

🔧

RAG Pipeline Development

What: End-to-end custom RAG pipeline build

For: Orgs with 10TB+ unstructured data needing AI-powered search

Timeline: 6-12 weeks for MVP

Starting: $75K-150K

Key Benefits:

  • Eliminate information silos across departments
  • Reduce search time from hours to seconds
  • Enable data-driven decision making
  • Scale to millions of queries cost-effectively

What's Included:

  • Data ingestion & preprocessing (50+ file formats)
  • Chunking strategy optimization
  • Embedding model selection & fine-tuning
  • Vector database setup & sharding
  • Retrieval algorithm implementation
  • LLM integration & prompt engineering
  • Evaluation framework setup
  • Deployment & monitoring infrastructure

RAG Pipeline Types:

  • Basic RAG (3-tiered: Basic, Advanced, Enterprise)
  • Multimodal RAG (text + images + tables)
  • Agentic RAG (multi-step reasoning, tool usage)
  • Graph-based RAG (entity relationships, knowledge graphs)
  • Real-time RAG (streaming data integration)
Timeline: 6-12 weeks for MVP
Starting Price: $75K-150K
Learn More
🤖

Agentic RAG Systems

What: Autonomous agents with multi-step reasoning and tool usage

For: Complex workflows requiring decision-making (fraud detection, research automation)

Timeline: 8-16 weeks

Starting: $120K-250K

Key Benefits:

  • Automate complex workflows end-to-end
  • Reduce manual intervention by 80%
  • Scale expertise across your organization
  • Maintain 99%+ accuracy on complex tasks

What's Included:

  • Multi-agent architecture design
  • Tool integration framework
  • Reasoning and planning algorithms
  • Memory and context management
  • Error handling and recovery
  • Performance monitoring
  • Human-in-the-loop workflows
  • Continuous learning systems

Use Cases:

  • Fraud Detection (40% faster detection, 99.2% accuracy)
  • Research Automation (80% reduction in research time)
  • Compliance Monitoring (automated audit trails)
  • Customer Support (complex query resolution)
  • Financial Analysis (multi-source data synthesis)
Timeline: 8-16 weeks
Starting Price: $120K-250K
Learn More
📊

RAG Optimization & Audits

What: Performance tuning, cost reduction, accuracy improvement

For: Existing RAG implementations underperforming

Timeline: 3-6 weeks

Starting: $35K-75K

Key Benefits:

  • Reduce operational costs by 40-60%
  • Improve system reliability and uptime
  • Increase retrieval accuracy by 15-25%
  • Optimize for sub-500ms latency

What's Included:

  • Comprehensive system audit
  • Performance bottleneck analysis
  • Cost optimization strategies
  • Retrieval accuracy improvements
  • Query latency optimization
  • Infrastructure scaling recommendations
  • Security and compliance review
  • Optimization roadmap
Timeline: 3-6 weeks
Starting Price: $35K-75K
Learn More
🔗

Integration & Migration

What: Connect RAG to existing systems (CRM, ERP, legacy databases)

For: Enterprises with complex tech stacks

Timeline: 4-8 weeks

Starting: $50K-100K

Key Benefits:

  • Seamless integration with existing workflows
  • Zero disruption to current operations
  • Unified search across all data sources
  • Maintain security and compliance standards

What's Included:

  • System integration assessment
  • API development and configuration
  • Legacy system connectors
  • Data migration strategies
  • Authentication and authorization setup
  • Workflow automation
  • Testing and validation
  • Change management support
Timeline: 4-8 weeks
Starting Price: $50K-100K
Learn More

Our Proven Process

A systematic approach to ensure successful RAG implementation

1

Discovery & Assessment

Data audit, requirements gathering, feasibility analysis. We understand your data, challenges, and objectives.

Timeline: 1-2 weeks

2

Architecture Design

Stack selection, pipeline design, security planning. We create a blueprint tailored to your needs.

Timeline: 1-2 weeks

3

Development & Testing

Iterative build, evaluation metrics (recall@K, precision, latency). We deliver working solutions incrementally.

Timeline: 4-8 weeks

4

Deployment & Integration

Production rollout, monitoring setup, team training. We ensure smooth transition to operations.

Timeline: 2-3 weeks

5

Optimization & Support

Performance tuning, feature additions, SLA maintenance. We partner for long-term success.

Timeline: Ongoing

Built on Industry-Leading Technologies

We use the best tools for the job, with clear justification for each choice

Core Frameworks

LangChain

80% faster development cycles vs custom builds; extensive community support

LlamaIndex

Superior for hierarchical document structures; advanced retrieval strategies

Vector Databases

Pinecone

Managed simplicity for <10M vectors; serverless scaling

Weaviate

Hybrid search capabilities; multimodal support

Milvus

Self-hosted at scale (>100M vectors); open-source flexibility

LLM Providers

OpenAI GPT-4

Best for general reasoning; excellent instruction following

Anthropic Claude

Superior for long context; reduced hallucinations

Meta Llama

Open-source flexibility; fine-tuning capabilities

Infrastructure

Docker & Kubernetes

Container orchestration; scalable deployment

AWS/GCP/Azure

Cloud-agnostic deployments; regional compliance

Prometheus & Grafana

Monitoring and observability; custom RAG metrics

Performance Comparisons

When we use Pinecone vs Weaviate

  • Pinecone: <10M vectors, managed simplicity, serverless scaling
  • Weaviate: Hybrid search needed, multimodal data, custom filters

When we use GPT-4 vs Claude vs Llama

  • GPT-4: General reasoning, instruction following
  • Claude: Long context, reduced hallucinations
  • Llama: On-premise, fine-tuning, cost optimization

When we use LangChain vs LlamaIndex

  • LangChain: Rapid prototyping, extensive integrations
  • LlamaIndex: Hierarchical data, advanced retrieval
Download Technical Architecture Whitepaper

Results That Matter

Proven performance metrics from our enterprise deployments

98.5%
Average retrieval accuracy
<500ms
Average query latency (at scale)
60%
Average cost reduction vs baseline LLM
95%
Reduction in hallucinations
40%
Faster time-to-insight
99.9%
Uptime SLA

Ready to Transform Your Enterprise Data?

Let's discuss how our RAG solutions can solve your specific challenges

Discuss Your RAG Project See Pricing Details