Agent Cloud: Open source platform for data-driven AI apps
Frequently Asked Questions about Agent Cloud
What is Agent Cloud?
Agent Cloud is an open-source platform designed to help users build AI-powered chat applications that can talk with data. It supports various data sources like databases, files, and APIs. The platform enables users to split, embed, and store data in vector databases. It also supports connecting to different large language models (LLMs), including local models or those from OpenAI. You can schedule data syncs to keep your information up-to-date. Once set up, you can create chat apps that fetch and interact with your latest data, making it useful for teams needing secure data conversations. The platform emphasizes security, multi-agent capabilities, and support for open-source and cloud-hosted models.
Key Features:
- Open Source
- Multi-Data Source
- Secure Access
- LLM Agnostic
- Scheduled Sync
- Data Embedding
- Multi-Agent
Who should be using Agent Cloud?
AI Tools such as Agent Cloud is most suitable for Data Scientists, AI Developers, Data Engineers, ML Engineers & Business Analysts.
What type of AI Tool Agent Cloud is categorised as?
What AI Can Do Today categorised Agent Cloud under:
How can Agent Cloud AI Tool help me?
This AI tool is mainly made to data retrieval and chat app deployment. Also, Agent Cloud can handle build chatbots, integrate data sources, configure vector store, embed data & deploy ai apps for you.
What Agent Cloud can do for you:
- Build chatbots
- Integrate data sources
- Configure vector store
- Embed data
- Deploy AI apps
Common Use Cases for Agent Cloud
- Build data-based chatbots for customer support
- Create internal knowledge assistant for teams
- Automate data querying tasks
- Develop secure enterprise chat solutions
- Integrate data retrieval with AI apps
How to Use Agent Cloud
Create an account on the platform, connect your data sources, choose or upload data, configure your vector database and embedding models, then build and deploy chat agents to interact with your data.
What Agent Cloud Replaces
Agent Cloud modernizes and automates traditional processes:
- Manual data querying
- Basic chatbots without data access
- Custom data retrieval scripts
- Traditional BI dashboards
- Stand-alone AI models without data context
Additional FAQs
Can I use a local LLM?
Yes, you can connect your own local models that have an Open AI compatible endpoint.
What data sources are supported?
Includes databases, files like PDF, DOCX, CSV, and external APIs.
Is it secure?
Yes, with features to ensure data privacy and access control.
Can I deploy this on-premise?
Yes, especially with the open-source version, you can host it yourself.
What are system requirements?
Recommended minimum 16GB RAM for Docker installation.
Discover AI Tools by Tasks
Explore these AI capabilities that Agent Cloud excels at:
- data retrieval and chat app deployment
- build chatbots
- integrate data sources
- configure vector store
- embed data
- deploy ai apps
AI Tool Categories
Agent Cloud belongs to these specialized AI tool categories:
Getting Started with Agent Cloud
Ready to try Agent Cloud? This AI tool is designed to help you data retrieval and chat app deployment efficiently. Visit the official website to get started and explore all the features Agent Cloud has to offer.