DocsAI

DocsAI is your gateway to effortlessly crafting a personalized AI support agent by honing its skills with your diverse range of documents, spanning websites, text, PDFs, and DOCX files.

Key Features:

1. Simplified Setup: Crafting your AI agent is a breeze with just three straightforward steps. First, infuse your agent with knowledge by feeding it your data. Then, test its prowess by asking a spectrum of questions. Finally, effortlessly integrate it into your website with a mere one-line code snippet.

2. Multisource Magic: DocsAI offers the freedom to tap into multiple data sources. You’re not limited in the number of documents you can feed into the same agent, fostering a rich knowledge base.

3. Collaboration and Integration: This versatile tool allows users to suggest improvements for the bot and seamlessly integrates with Slack. Future expansions include integration options with databases (DB) like Crisp and Discord, making it a well-rounded solution.

4. API for Tailored Integration: The inclusion of APIs empowers users to achieve tailored integration with their websites, further extending the tool’s versatility.

5. Open Source: DocsAI’s open-source nature means that its source code is publicly accessible on GitHub, fostering a collaborative development environment.

6. Insightful Metrics: Benefit from unlimited search and summary insights for each conversation. These metrics offer a valuable window into your chatbot’s performance and even gauge customer sentiment.

Versatile Use Cases: DocsAI serves as a versatile solution applicable to an array of scenarios, including crafting customer support agents, HR bots, or customized agents tailored to your unique needs.

In summary, DocsAI streamlines the process of molding a personalized AI support agent, capable of navigating diverse documents and data sources. It seamlessly integrates into your website while providing invaluable insights into customer interactions.

As part of our community you may report an AI as dead or alive to keep our community safe, up-to-date and accurate.

An AI is considered “Dead AI” if the project is inactive at this moment.

An AI is considered “Alive AI” if the project is active at this moment.