Build intelligent conversational experiences powered by your own documents, websites, and data using advanced RAG technology.
Create your first knowledge collection and understand core concepts like documents, chunks, and embeddings.
Learn how to add content from websites, files, URLs, or manual entry to populate your knowledge base.
Understand hybrid search, semantic retrieval, and how to configure search settings for optimal results.
RAG (Retrieval-Augmented Generation) is a technique that enhances AI responses by retrieving relevant information from your knowledge base before generating answers. Instead of relying solely on the AI's training data, RAG allows your chatbot to access and reference your specific documents, policies, and proprietary information.
Use your own documents, websites, and knowledge base content to power conversations with accurate, up-to-date information.
Advanced semantic search finds the most relevant information even when exact keywords don't match the user's question.
AI generates responses based on retrieved information, reducing hallucinations and ensuring factual accuracy.
Upload your help articles, FAQs, and support documentation. Your chatbot will automatically find and reference the right information to answer customer questions accurately.
Ingest company policies, terms of service, and compliance documents. Ensure your chatbot provides accurate, policy-compliant responses every time.
Index your product catalog, specifications, and documentation. Help customers find the right products and answer detailed technical questions.
Create an intelligent onboarding assistant that can answer questions from training materials, employee handbooks, and internal wikis.