Enterprise RAG Platform
Multi-tenant, role-based RAG platform with isolated PostgreSQL schemas. Secure document management, advanced AI retrieval, and customizable prompts for enterprise teams.
Trusted by enterprises
Multi-tenant, role-based RAG platform with isolated PostgreSQL schemas. Secure document management, advanced AI retrieval, and customizable prompts for enterprise teams.
Trusted by enterprises
Each client gets a dedicated PostgreSQL schema with complete data isolation and automated provisioning on onboarding.
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Advanced RAG system with pgvector embeddings for precise document retrieval and contextual responses.
Interactive chat with role-based access to documents and customizable RAG responses.
3 RAG Types
Track document queries, user interactions, and system performance. Comprehensive logging and audit trails.
Choose from Basic, Advanced, or Customized RAG configurations to match your specific requirements and complexity needs.
Get StartedThe flexibility to choose between different RAG types allowed us to optimize for both simple queries and complex document analysis.
Alex JohnsonLead AI Engineer
Simple document retrieval with standard embeddings and straightforward Q&A responses.
Enhanced context processing with improved relevance scoring and multi-document synthesis.
Fully customizable prompts, specialized document processing, and tailored response formats.
Category-based permissions ensuring users only access authorized documents and responses.
pgvector-powered semantic search for precise document retrieval and contextual matching.
Secure document storage with client-specific folder structures and automated backup.
Our platform combines PostgreSQL with pgvector for embeddings, AWS S3 for document storage, and advanced LLM integration. From basic RAG to fully customized solutions with role-based access control and multi-tenant architecture.
View ArchitectureOur platform handles thousands of clients with isolated schemas and secure multi-tenancy — from document processing to intelligent responses.
Supporting enterprise teams with secure document management, role-based access control, and advanced AI-powered retrieval across multiple RAG configurations
System Uptime
Enterprise Clients
This RAG platform transformed how we handle enterprise documents. The multi-tenant architecture with schema isolation gives us the security we need, while the customizable RAG types let us tailor responses for different departments.
Sarah Chen, CTO
Our RAG platform empowers organizations with secure, scalable document intelligence. From startups to Fortune 500 companies, teams rely on our multi-tenant architecture for their AI initiatives.
This RAG platform revolutionized our document management workflow. The multi-tenant architecture with schema isolation provides the security we need for enterprise clients, while the customizable RAG types let us tailor AI responses for different business units. The automated schema provisioning saved us months of development time.
MRMichael RodriguezVP of Engineering
The role-based access control and category management features are exactly what we needed for our compliance requirements. Setting up different RAG configurations for various departments was seamless.
LCLisa ChenData Architect
The pgvector integration and AWS S3 storage provide the performance and scalability we need. Document embeddings are generated efficiently, and the vector search is incredibly fast.
DKDavid KimSenior DevOps Engineer
The Super Admin dashboard makes client onboarding effortless. New schemas are created automatically, and we can manage hundreds of clients from a single interface.
ETEmma Thompson
Platform Administrator
Join hundreds of enterprises who have transformed their document intelligence with our multi-tenant RAG platform. Experience secure, scalable AI-powered document retrieval with automated schema provisioning.
Common questions about our RAG platform
Each client gets a dedicated PostgreSQL schema that's completely isolated from other clients. When a new client is onboarded, our system automatically creates their schema with all necessary tables.
We support three RAG configurations: Basic RAG for simple document retrieval, Advanced RAG with enhanced context processing, and Customized RAG with custom prompts and specialized document handling.
Our platform supports three main roles: Super Admin (manages all clients), Client Admin (manages categories and users), and Client User (queries assigned categories).
Documents are securely stored in AWS S3 with client-specific folder structures. When uploaded, we generate embeddings using pgvector and store them in the client's dedicated PostgreSQL schema for fast retrieval.