Create and customize chatbots using GPT-4. Access a dashboard with analytics, integrate easily with platforms like WordPress and Shopify, and choose from different pricing plans. Low-code implementation available.
Integrates OpenAI's GPT-4 to create advanced chatbots capable of understanding and responding to a wide range of inputs.
Allows users to build and manage chatbots without programming skills through an easy-to-use dashboard interface.
Enables customization of chatbot responses to align with brand voice and specific user needs.
Provides analytics tools to track chatbot interactions and performance metrics in real time.
Includes user verification and authentication capabilities to enhance security and personalized experiences.
Compatible with platforms like WordPress, Shopify, Squarespace, and Wix for easy integration.
Allows users to integrate the chatbot into their website with minimal effort.
Enables users to build and run chatbots cost-effectively.
Users can build chatbots with almost no coding skills required.
Facilitates direct billing support through OpenAI without any extra charges.
The page provides access to an AI-powered chatbot that can help users with questions and issues regarding the AdaraChatbot platform. The chatbot serves as an initial point of contact for support inquiries.
Tutorial on how to export and view all chatbot threads using OpenAI's platform.
Guide on building a smart chatbot for websites using the OpenAI assistant API.
Instructions on how to see all chatbot threads using OpenAI's platform.
Advice on creating effective prompts for chatbots.
Learn about how to use crawlers to gather data and information for the chatbot.
Discover how to manage and integrate files within the chatbot system.
Detailed guidance on setting up and customizing chatbots for various uses.
Integrate the OpenAI Assistant API to enhance chatbot capabilities.
Embed the chatbot into websites or applications for interactive use.
The crawler scans designated URLs to gather relevant content based on specific criteria, such as a string or webpage section. This enhances the chatbot's knowledge base.
Allows users to initiate the creation of a new crawler.
Users can name their crawler for easy identification on the dashboard.
Users provide the URL where the crawler begins its operation.
Users can specify a string that the crawler should consistently match to ensure relevance during crawling.
Users define a selector to extract content from specific website parts by testing their query selector with developer tools.
Allows uploading a file with a table of questions and answers to train the chatbot. The chatbot can learn from the file to improve its responses. Supported file types include: c, cpp, csv, docx, html, java, json, md, pdf, php, pptx, py, rb, text, txt, css, jpeg, jpg, js, gif, png, tar, ts, xml, and zip.
Allows you to create an interactive chatbot for your website. You need to provide a display name, welcome message, default prompt, choose an OpenAI model, enter API key, and select files for retrieval.
Provides the steps to import an existing OpenAI Assistant into the platform. Requires the assistant ID, a display name, a welcome message, a default prompt, and an API key.
AdaraChatbot uses the OpenAI Assistant API to build smart chatbots. It supports retrieval functions with gpt-3.5-turbo-1106 and gpt-4-1106-preview models as well as the latest model GPT-4o.
Supports retrieval function to optimize the assistant's performance, specifically with the models mentioned.
With Assistant V2, it supports the latest model, GPT-4o, for enhanced capabilities.
Allows users to override the chatbot prompt to make it more user-friendly and flexible. This customization does not affect the server-side settings and can be done by embedding an iframe in HTML.
Pre-defined text that can be included automatically in the user input field. This text is specified within the iframe URL and is customizable via JavaScript.
Allows you to change most colors and text within the chatbot.
Displays a form to the user talking to the chatbot to enter an email and a question, with email notifications to the owner.
Allows you to remove the 'Powered by AdaraChatbot' branding.
Users can add files in the chat for analysis. Supports CSV and other types of files.
Clarify the assistant's identity and operational context to shape its responses accurately. Specify what role the assistant plays, e.g., helping users with their website inquiries.
Keep responses concise and to the point to maintain user's attention and provide clear information. Ensure the answers are quick and understandable.
Limit the topics the chatbot can discuss, focusing on relevant subjects. If a user brings up unrelated topics, the chatbot should inform the user about its specialization.
Ensure the chatbot reflects the brand positively and does not promote competitors. Maintain a positive and helpful tone throughout all interactions.
Allows users to see and manage all chatbot threads created in OpenAI's platform by accessing settings under Features and Capabilities, enhancing user interaction and efficiency.
Provides insights and analytics of chatbot interactions, allowing users to track performance and engagement.
Enables users to upload a file containing the dataset for the chatbot. This dataset is used to train and customize the chatbot's responses.
Generates an embed code for users to place the chatbot on their website. This allows seamless integration of the chatbot into any web page.
Allows users to export their chatbot conversations in JSON format for analysis. This feature is intended for improving the effectiveness of conversations by analyzing chat history.
Users can create an OpenAI Assistant with model GPT-4 that analyzes the JSON export to provide actionable recommendations, enhancing the efficiency and utility of a chatbot.