CerebraForge
Enterprise RAG Platform
Build production-ready RAG applications in weeks, not months. Complete infrastructure for document intelligence and knowledge management.
The Problem
- •Building RAG from scratch takes months of development
- •Complex infrastructure setup (Vector DB, embeddings, LLM integration)
- •Document parsing and chunking challenges
- •Security and multi-tenant requirements are complex
Our Solution
- Complete RAG infrastructure ready to deploy
- Multi-model LLM support (OpenAI, Anthropic, Local)
- Enterprise security with RBAC and audit logs
- Multi-tenant architecture out of the box
Key Features
Everything you need for enterprise-grade RAG applications
RAG Infrastructure
Complete RAG infrastructure ready to deploy
Multi-Model Support
Support multiple LLM models in one platform
Enterprise Security
Enterprise-grade security with RBAC and audit logs
Vector Database
Vector database for semantic search
Multi-Tenant
Multi-tenant architecture out of the box
Semantic Search
Accurate and fast semantic search
Use Cases
Document Intelligence
Understand and search information from organizational documents
Knowledge Management
Efficiently manage and access organizational knowledge
Customer Support
AI assistant that understands documents and answers customer questions
Technical Specifications
LLM Models
- OpenAI GPT-4
- Anthropic Claude
- Local LLMs (Ollama, vLLM)
Vector Database
- Pinecone
- Weaviate
- Qdrant
- Self-hosted
Document Processing
- Word
- Excel
- Markdown
- HTML
Deployment
- Cloud (AWS, GCP, Azure)
- On-premise
- Hybrid
Security
- RBAC
- Audit Logs
- Data Encryption
- SOC2 Ready
API
- REST API
- GraphQL
- WebSocket
- SDK (Python, JS)
Pricing Packages
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Start using CerebraForge today and build RAG applications in weeks