AI Research Assistant

What is dara.chat?

Dara.chat is a platform designed for interaction with diverse language models (LLMs) via chat. Users can upload documents, pose questions, conduct web searches, and engage with images through multi-modal LLMs. The platform focuses on delivering precise and valuable responses by utilizing sophisticated retrieval and language model technologies.

What other features does Dara.chat offer?

Dara.chat provides several features to enhance user interaction and productivity:

• Document Uploads: Users can upload documents and inquire about their contents.
• Web Search: The platform performs web searches to offer current information.
• Multi-modal Interaction: It supports interactions with images, allowing users to ask questions or obtain descriptions.
• Language Model Integration: Advanced language models are employed to deliver accurate and helpful responses.
• Customizable Workflows: Users can design and tailor workflows to meet their individual requirements.

How can I create custom workflows on Dara.chat?

To create custom workflows on Dara.chat, follow these steps:

1. Access the Workflow Section: Go to the workflow section in the Dara.chat interface.
2. Define Your Workflow: Outline the tasks you wish to automate or enhance, such as document processing, web searches, or multi-modal interactions.
3. Set Up Triggers and Actions: Establish triggers (events that initiate the workflow) and actions (tasks the workflow performs). For instance, uploading a document could trigger the extraction of key information.
4. Customize Steps: Personalize each step of the workflow, including conditions, loops, and other logical elements to make it more dynamic.
5. Test and Refine: Execute the workflow to evaluate its performance and make adjustments as needed.
6. Save and Deploy: Save the finalized workflow and deploy it for regular use.

How can I integrate external APIs into my custom workflows on Dara.chat?

To integrate external APIs into your custom workflows on Dara.chat, follow these steps:

1. Identify the API: Choose the external API you want to integrate and gather the necessary API keys and documentation.
2. Access the Workflow Section: Navigate to the workflow section within the Dara.chat interface.
3. Create a New Workflow: Begin by creating a new workflow and assign it a descriptive name.
4. Add API Call Step: Insert a step in your workflow to make an API call. This typically involves specifying the HTTP method (e.g., GET, POST), the endpoint URL, headers, and any required parameters.
5. Configure API Request: Enter the details for the API request:
     - Endpoint URL: Provide the URL of the API endpoint.
     - HTTP Method: Select the appropriate method (e.g., GET, POST).
     - Headers: Include necessary headers, such as authorization tokens.
     - Parameters: Add any query parameters or body data required for the request.
6. Handle API Response: Define how the workflow should process the API response. You can parse the response data and utilize it in subsequent steps of your workflow.
7. Test the Workflow: Execute the workflow to ensure the API integration functions as intended. Address any errors and adjust configurations as needed.
8. Save and Deploy: Once the workflow operates correctly, save it and deploy it for regular use.

For further assistance, you may find tutorials on integrating APIs with chatbot applications beneficial.

How much does dara.chat cost?

Dara.chat offers several pricing plans to accommodate different requirements:

• Individual Plan: Free. Includes access via iOS, Android, and Web, along with features such as creating groups and 1:1 chats, audio notes and video in chats, rich member profiles, projects, and integrated meeting rooms.

• Starter Plan: $169 per month. Includes all features from the Individual plan, plus support for 100 members and 2 admins, event and gig posting, member directory search, listing as a Dara partner, affiliate badge display, discoverable groups for members, and priority email support.

• Pro Plan: $329 per month. Includes all features from the Starter plan, with support for 500 members and 10 admins, group editing capabilities, VIP email support, and access to a customized engagement plan for communities.

Each plan offers a 30-day free trial to explore the features before making a commitment.

What Are the Main Features of the Portal Assistant on DaRa?

The Portal Assistant on DaRa offers a range of functionalities designed to enhance user experience and productivity. Users can interact with their preferred language models (LLMs) by uploading documents and asking questions. The tool also enables users to perform web searches and provides answers with cited sources. Additionally, it supports multi-modal interactions, allowing users to communicate with images using cutting-edge LLMs. The Portal Assistant integrates state-of-the-art retrieval and language model technologies to ensure the highest quality of responses.

How Can Users Interact with Multi-modal LLMs on DaRa?

Users can engage with multi-modal LLMs on DaRa by utilizing the platform's capability to process and interact with images. This feature allows users to upload pictures and ask relevant questions or seek detailed descriptions about the content within those images. The multi-modal LLMs are equipped to interpret various inputs and deliver comprehensive responses, harnessing advanced language processing technologies to bridge the gap between text and visual data.

What Login Options Are Available for Users on DaRa?

DaRa provides users with two convenient login options to access its features: logging in with Google and logging in with GitHub. These login methods allow users to seamlessly connect their existing accounts and quickly start utilizing the platform's functionalities, such as interacting with language models, conducting web searches, and facilitating document uploads for analysis and query.