AI No-Code Chatbot Builder — A multi-tenant SaaS platform for creating and deploying AI-powered chatbots using RAG.
// the problem
Businesses need custom AI chatbots trained on their own data, but building RAG systems requires significant engineering expertise and infrastructure knowledge.
// the solution
Created a no-code platform where users upload documents, which are automatically chunked, embedded, and stored in pgvector for semantic search. The chatbot uses RAG to provide accurate, context-aware responses from the uploaded knowledge base.
// architecture
// features
No-code chatbot creation with document upload
RAG pipeline with chunking, embeddings, and pgvector semantic search
Embeddable chat widget with theme customization
Analytics dashboard tracking conversations and satisfaction
Automated fallback to human agents for unresolved queries
Multi-tenant architecture with isolated data per user
// challenges & learnings
Optimizing document chunking strategy for different file types to maintain context
Implementing efficient pgvector similarity search at scale
Building a real-time embeddable widget that works across different host websites
Check out the code on GitHub or try the live demo.