The self-building Chatbot

How do I implement my FireChatbot with a Content Security Policy?

If you use a Content Security Policy on your website, you have to add the following CSP to your website's HTTP header or tag to allow the Chatbot to work properly:

HTTP


                          Content-Security-Policy:

                              default-src 'self'; script-src 'self' https://firechatbot.com;

                              connect-src 'self' https://firechatbot.com;

                              img-src 'self' https://firechatbot.com;

                              style-src 'self' 'unsafe-inline';

                              font-src 'self' https://firechatbot.com;

Do I need to adapt my Terms of Use after I implemented my FireChatbot?

No, you don't have to adapt your Terms of Use after you have implemented your chatbot. FireChatbot comes with integrated Terms of Use, which are fully GDPR compliant and guarantee compliant use.

Which data is stored where?

Knowledge Base

Stores the knowledge, that your Chatbot uses to answer questions

Activated every time a user asks a question

Stores website texts & custom text documents

Provides infinite storage for every Chatbot

Datapoints

[{ id: "Generic ID", type: "website | document", text: "Your website's or document's text, compressed", title: "Your website's url or your document's title", lastUpdate: "Last update of your document or website" },...]

Analytics Database

Stores quantitative & qualitative Analytics data, that is displayed inside the Dashboard

Activated every time a User visits your website

Stores URL, referer, location of the user and counts visits & chatbot activations

Stores chats along with sentiment analysis

Does not generate any IDs or user profiles

Datapoints

Visit Database: [{ chatbotID: "Your Chatbot ID", visits_[data]_[time]: "Number of visits", visits_[data]_[time]_[country]: "Number of visits per country", visits_[data]_[time]_[url]: "Number of visits per URL" },...] Chat Database: [{ chatbotID: "Your Chatbot ID", country: "Country of the user", latitude: "Latitude of the user", longitude: "Longitude of the user", date: "Start date of the chat", endtime: "Time of the last message", messages: ["User and bot messages, excluding images"], page: "URL of the page", probability: "Probability of buying the product (AI generated)", sentiment: "Sentiment of the chat (AI generated)", summary: "Summary of the chat (AI generated)", title: "Title of the chat (AI generated)" },...]

Which AI models is FireChatbot using?

FireChatbot automatically routes a user's question to the AI model, that is best suited to answer it. This process is dependent on the modality of the question (text, audio or image), as well as the complexity. FireChatbot uses GPT-4o, GPT-4o mini, OpenAI Realtime API & Open Source models like Nvidia's Nemotron.

All models are hosted on our own servers in Germany, either via Azure OpenAI Services or directly via Azure.

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Questions? Answers!

How do I implement my FireChatbot with a Content Security Policy?

Do I need to adapt my Terms of Use after I implemented my FireChatbot?

Which data is stored where?

Which AI models is FireChatbot using?

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