RAG Systems for Enterprises
AI-powered knowledge systems that make your enterprise information instantly searchable, contextual, and actionable.
Book Strategy CallTransform documents, data, and internal knowledge into a real-time intelligence engine powered by Retrieval-Augmented Generation (RAG) — designed for enterprise security, scalability, and performance. Most enterprise AI initiatives fail because information is scattered, outdated, or inaccessible. Our RAG systems solve this by creating a centralized, AI-native knowledge architecture that indexes your internal data, retrieves the most relevant information, grounds AI outputs in your verified knowledge, and increases accuracy, compliance, and reliability. Built using ProductOS™, your RAG system is production-ready from day one.
What's Included
Enterprise-grade RAG infrastructure with everything you need for production deployment.
Data Ingestion & Pipelines
Secure ingestion for PDFs, internal docs, databases, wikis, policies, emails, transcripts, and enterprise systems.
Vector Database Setup
High-performance embedding and vector storage using Pinecone, Weaviate, Qdrant, or enterprise-approved alternatives.
Custom Retrieval Logic
Optimized retrieval strategies (hybrid search, reranking, metadata filters) to ensure precise and contextually relevant answers.
LLM Integration
Seamless integration with the LLM of your choice — OpenAI, Anthropic, Azure OpenAI, or internal models.
Permissions & Security Controls
Role-based access, SSO, enterprise security mapping, and audit-friendly logging.
Real-time Knowledge Updates
Automated pipelines keep your models grounded in the latest enterprise information.
Performance Monitoring Dashboard
Track accuracy, retrieval quality, latency, and usage metrics with a ProductOS-powered dashboard.
The Enterprise RAG Workflow
A proven process for building production-ready knowledge systems.
Ingest & Normalize Content
We clean, chunk, and process your enterprise documents and data sources.
Embed & Store in Vector DB
High-quality embeddings ensure optimal retrieval accuracy.
Retrieve With Precision
Hybrid search retrieves the best matching data with metadata-aware ranking.
Generate High-Accuracy Outputs
AI responses are grounded in your verified internal knowledge.
Improve Continuously
Monitor quality, retrain embeddings, optimize prompts, and expand data sources.
Why Enterprises Choose 1Labs.ai
Enterprise-grade RAG systems built for scale, security, and speed.
Production-Ready in Weeks
Powered by ProductOS™, your RAG infrastructure is delivered fast — not in 6–12 months like traditional AI integrators.
Enterprise-Grade Accuracy & Scalability
Built for large data volumes, complex retrieval logic, and thousands of internal users.
Security-First Architecture
SOC-friendly logging, encryption, access control, and vendor-approved infrastructure.
Seamless Integration
Connect to SharePoint, Notion, Confluence, SQL, CRMs, ERPs, ticketing systems, and proprietary databases.
Use Cases
RAG systems powering intelligent workflows across the enterprise.
Ready to build an enterprise-grade RAG system?
Book a strategy call to architect your RAG system, plan integrations, and receive a custom implementation roadmap.