RAG Chatbot for Your Website
Give accurate, sourced AI answers grounded in your own documents — not generic guesses.
Start Free TrialThe Problem with Generic AI Chatbots
Generic AI chatbots hallucinate — they invent answers that sound confident but are completely wrong, damaging customer trust.
They have no knowledge of your products, policies, or documentation, so they give unhelpful generic responses.
Zero source attribution means you can’t verify where the answer came from or trust its accuracy.
How RAG Solves This
RAG (Retrieval-Augmented Generation) searches your actual documents first, then generates answers grounded in that content.
Every response is traceable to a specific document chunk, so customers and your team can verify accuracy.
No hallucination — if the answer isn’t in your documents, the bot says so honestly instead of making something up.
Upload new documents and the knowledge base updates instantly — no retraining or fine-tuning required.
RAG vs. Generic AI Chatbots
| Alapchat | Generic AI | |
|---|---|---|
| Answer Accuracy | High — grounded in docs | Low — prone to hallucination |
| Source Citations | ✓ Automatic | ✗ None |
| Hallucination Risk | Minimal | High |
| Custom Knowledge | ✓ Your docs only | Internet-trained |
| Setup Time | 5 minutes | Weeks of fine-tuning |
Why Teams Choose Alapchat RAG
Gemini AI with retrieval-augmented generation
768-dimension vector embeddings for semantic search
Automatic chunking and re-ranking pipeline
Real-time document updates, no retraining needed
Frequently Asked Questions
Ready for Accurate AI Answers?
Stop guessing. Start with a RAG chatbot that only says what your documents say.
Start Free Trial