Definition: Chatbot training is the process of providing an AI chatbot with the specific knowledge, content, and context it needs to accurately answer questions about your particular product, service, or domain — going beyond its general training to become an expert on your business.
It's important to distinguish between two types of "training" in AI. The first is the foundational training of the underlying LLM itself — this is done by AI companies using billions of documents and enormous computing resources. You don't do this.
The second type — and the one you do when setting up a business chatbot — is teaching the chatbot about your specific business. This is sometimes called fine-tuning or, more accurately in modern systems, knowledge base construction via RAG.
In practice, "training" your chatbot with tools like Converso means: providing your website URL, uploading your documents, and letting the system crawl and index your content. The AI reads everything you provide, converts it into searchable embeddings, and stores it in a vector database. Now when customers ask questions, the chatbot retrieves relevant content from your knowledge base to generate accurate answers.
Unlike traditional ML training, this process takes minutes — not weeks — and requires no technical knowledge. You can update your chatbot's knowledge any time by re-crawling your URL or uploading new documents.
Enter your website URL, upload PDFs, or paste plain text. You can combine multiple sources into a single knowledge base.
Converso fetches your content, splits it into manageable chunks (paragraphs or sections), and prepares them for indexing.
Each content chunk is converted into a high-dimensional vector (embedding) that captures its semantic meaning.
The embeddings are stored in a vector database, ready for lightning-fast semantic search when users ask questions.
The chatbot can now retrieve and answer questions from your content — accurately and instantly. Re-train anytime content changes.
Converso crawls your site automatically
Upload policies, guides, manuals
DOCX and DOC files supported
Product catalogs and data tables
Index specific pages precisely
Keep knowledge base up to date