Deploy production-ready RAG systems on AWS. Transform your enterprise data into intelligent, context-aware AI responses.
Retrieval Augmented Generation (RAG) combines your enterprise data with large language models to deliver accurate, context-aware AI responses. By retrieving relevant information before generating responses, RAG ensures your AI system provides reliable, data-backed answers.
RAG architectures provide secure, scalable infrastructure for embedding and retrieving your organization's knowledge. Our AWS-native solution ensures high performance, complete data privacy, and seamless integration with your existing systems.
Your data stays in your AWS account with complete control and security
Our complete RAG solution includes everything you need for production deployment
Enterprise-grade vector storage using AWS OpenSearch, Pinecone, or pgvector for efficient similarity search
Automated document processing and embedding generation with robust error handling
Optimized context retrieval with customizable relevance scoring and filtering
Handle millions of documents with optimized vector search infrastructure
End-to-end security with AWS-native security controls
Efficient resource utilization with automatic scaling
Our proven 4-step process ensures successful RAG deployment
Design vector search infrastructure
Build embedding and retrieval pipelines
Fine-tune retrieval performance
Deploy with monitoring and scaling
We help you choose the right vector database for your specific needs
| Database | Best For | Key Features | Pricing Model |
|---|---|---|---|
| AWS OpenSearch | Enterprise deployments | Full AWS integration, managed service | Pay-per-use |
| Pinecone | Fast prototyping | Fully managed, easy to use | Subscription |
| pgvector | PostgreSQL users | Open source, SQL compatible | Infrastructure only |
| Weaviate | Complex queries | GraphQL API, hybrid search | Open source/Cloud |
| Qdrant | High performance | Rust-based, efficient filtering | Open source/Cloud |
We provide a complimentary session to ensure our RAG architecture is a good fit for your business