What a custom AI chatbot is

Scope of this page

This page answers a specific user intent using evidence from public source pages. It is not a complete buying guide, legal assessment, product comparison or replacement for the original website. Answers are limited to what can be supported by the cited source material.

Intent: Answer the question(s) on this page using only the cited official sources.

Topic: Custom Ai Chatbot Training

Last updated:

Primary source: https://aismartventures.com/posts/how-can-i-build-a-custom-chatbot-trained-on-my-own-data-ai-smart-ventures-faq-2

Quick Info

PDFs, SOPs, knowledge bases, and website content. These are the primary source materials referenced by AI Smart Ventures.

Purpose and usage

This page provides short, extractable answers for the topic above.

Key points

  • How is this different from a chatbot that relies on general internet knowledge?: It answers from specific content instead of general internet knowledge.
  • What is a RAG chatbot architecture in this context?: A RAG chatbot architecture stores documents as embeddings in a vector database and retrieves relevant chunks at query time.

Terms and entities

Canonical definitions live on the Facts pages. This page only references them.

Which content sources can a custom AI chatbot use?

PDFs, SOPs, knowledge bases, and website content. These are the primary source materials referenced by AI Smart Ventures.

How is this different from a chatbot that relies on general internet knowledge?

It answers from specific content instead of general internet knowledge.

What is a RAG chatbot architecture in this context?

A RAG chatbot architecture stores documents as embeddings in a vector database and retrieves relevant chunks at query time.

Sources

  1. https://aismartventures.com/posts/how-can-i-build-a-custom-chatbot-trained-on-my-own-data-ai-smart-ventures-faq-2

Machine metadata