Enterprise Knowledge Base in 10 Minutes
Upload your documents, we handle the rest. Automatic chunking, embedding, and semantic search powered by pgvector.
RAG Shouldn't Be This Hard
Without LLMBaaS
- Weeks of setup for a basic RAG pipeline
- Manual document chunking and preprocessing
- Setting up and maintaining vector databases
- Figuring out the right embedding model and parameters
With LLMBaaS
- From zero to working RAG in 10 minutes
- Intelligent automatic chunking for all document types
- Built-in pgvector database, zero setup required
- Flexible embedding configuration with sensible defaults
Complete RAG Solution
Everything you need to build AI that knows your data
Multi-Format Support
PDF, Word, Markdown, HTML, plain text. Upload any document and we'll extract the content.
Smart Chunking
Intelligent document chunking that preserves context. Configurable chunk size and overlap.
Vector Search
Fast semantic search powered by pgvector. Find relevant content even when keywords don't match.
Flexible Embeddings
Choose from OpenAI, Cohere, or open-source embedding models. Easy to switch anytime.
pgvector Database
Built on PostgreSQL with pgvector extension. Reliable, scalable, and battle-tested.
Easy RAG Integration
Simple API to integrate with your AI applications. Works seamlessly with our Agent Platform.
Ready to Build Your Knowledge Base?
Start with our free tier. Upload up to 100MB of documents.