Deploy full RAG stack in minutes. Build intelligent document search and question-answering systems.
Everything you need to build production-ready retrieval-augmented generation applications
Deploy your RAG pipeline in minutes with pre-configured vector databases, embeddings, and retrieval systems.
Support for PDFs, Word documents, text files, web pages, and structured data with intelligent parsing.
Hybrid search combining semantic similarity and keyword matching for the most relevant results.
Keep your knowledge base up-to-date with automatic reindexing and incremental updates.
Understand the power of retrieval-augmented generation
Upload your documents and we'll automatically chunk, embed, and index them in our vector database
When users ask questions, we find the most relevant document chunks using semantic search
The LLM uses the retrieved context to generate accurate, grounded answers with citations
Transform your documents into intelligent, searchable knowledge bases
Transform company documentation into an intelligent assistant
Provide instant, accurate answers from your support documentation
Search through research papers, reports, and academic content
Organize and search through large content libraries
Start with our easy-to-use platform and deploy your first RAG workflow in minutes.