Data source support is a key feature to consider when evaluating Chatbase. It determines the types of documents or data formats the chatbot can read and pull information from to respond accurately to user queries. Whether Chatbase supports integrations with websites, PDFs, CSV files, or even proprietary databases can significantly impact its usefulness. By having robust Data Source Support, Chatbase becomes more versatile and able to provide more relevant, context-driven responses, making it an essential consideration for businesses looking to maximize their AI chatbot’s capabilities.

Below is a list of data sources Chatbase currently support:

Website

PDF

Text

Word Document

Integration capabilities are a key feature of Chatbase. By supporting integration with various platforms, Chatbase helps streamline workflows and improve overall efficiency. Whether it connects with your existing systems or offers custom integration options, this flexibility allows businesses to automate processes, enhance customer interactions, and seamlessly fit the chatbot into their operations for a smoother experience.

Below is a list of integrations Chatbase currently support:

Slack

Zapier

WhatsApp

Shopify

LLM (Large Language Model) Support is an important factor when choosing Chatbase. It refers to the AI models that Chatbase is built on or integrates with to generate natural, human-like responses. The types of LLM models Chatbase supports, such as GPT-4, Claude, or other specialized models, influence its accuracy, language understanding, and ability to handle complex queries. With strong LLM support, Chatbase can better interpret user intent, deliver more nuanced answers, and provide a smoother conversational experience.

Below is a list of LLM AI models Chatbase currently support:

GPT-3.5

GPT-4

Claude Haiku

Claude Sonnet

Gemini 1

Gemini 1.5