RAG Systems
Retrieval-Augmented Generation systems that combine the power of your proprietary data with large language models for accurate, context-aware AI responses.
Enterprise RAG Capabilities
Production-ready retrieval systems that keep your AI grounded in facts
Multi-Source Integration
Ingest and index data from documents, databases, APIs, and internal systems into a unified knowledge base.
Semantic Search
Vector embeddings and semantic understanding for accurate retrieval beyond keyword matching.
LLM Integration
Seamless integration with GPT-4, Claude, and other leading language models for response generation.
Real-Time Updates
Automatic indexing and updates as your source data changes, keeping AI responses current.
Source Citations
Every AI response includes citations to source documents for transparency and verification.
Access Controls
Role-based permissions ensure users only access information they're authorized to see.
Common Use Cases
Transform how your organization accesses and uses institutional knowledge
Customer Support AI
Train AI assistants on your documentation, policies, and historical support tickets to provide accurate, instant customer support.
- 24/7 instant support responses
- Consistent answers across channels
Internal Knowledge Base
Give employees natural language access to company policies, procedures, and institutional knowledge.
- Reduce time searching for information
- Onboard new employees faster
Research Assistant
Search through research papers, reports, and technical documents with AI-powered semantic search and summarization.
- Find relevant information faster
- Generate research summaries
Product Documentation
Power interactive documentation that answers user questions in natural language with context from your entire docs library.
- Improve developer experience
- Reduce support ticket volume
Technology Stack
Best-in-class tools for production RAG systems
Vector Databases
- Pinecone
- Weaviate
- Qdrant
- PostgreSQL with pgvector
Embedding Models
- OpenAI Embeddings
- Cohere Embeddings
- Sentence Transformers
- Custom fine-tuned models
LLM Providers
- GPT-4, GPT-4 Turbo
- Claude 3 (Opus, Sonnet)
- Llama 3
- Custom models
Build Your RAG System
Let's discuss how RAG can unlock the value in your organization's data.