About
Agent Cloud enables the creation of data-connected agents that can access fresh, up-to-date vector data for retrieval and generation tasks (RAG). It supports integration with various data sources, allowing users to split, chunk, and embed data from over 260 sources. This tool supports the use of open-source or cloud-hosted LLM models, offering flexibility in choosing either locally hosted or Open AI models. With a built-in data pipeline, Agent Cloud allows users to sync data from systems such as databases or upload files, enabling LLM-powered agents to securely interact with data and systems. It also offers options for embedding local models and ensures data privacy by allowing self-managed and enterprise solutions.
Competitive Advantage
Offers flexibility in choosing between open-source and cloud-hosted LLM models, ensuring data security with self-managed solutions.
Use Cases
Pros
- Supports multiple data sources
- LLM agnostic
- Flexible deployment options
- Robust data pipeline
Cons
- Requires technical setup
- Potentially high resource requirements
- Limited local OS support
- May need customization for specific needs
Tags
Pricing
Who uses Agent Cloud?
Features and Benefits
Data Connector Integration
Syncs data from over 260 sources, including databases and file uploads, for seamless integration into AI models.
Flexible LLM Support
Allows the use of both open-source and cloud-hosted LLMs, enabling localized or cloud-based inference for AI applications.
Built-in Data Pipeline
Automatically processes data by splitting, chunking, and embedding for improved retrieval and analysis.
Privacy and Security Options
Offers options for deploying on private infrastructure to maintain data privacy and control.
Custom Chunking Strategies
Supports semantic chunking for more coherent data segmentation, adaptable via API.
Integrations
Target Audience
Frequently Asked Questions
Check out our pricing page where you can see our pricing.
A single place where companies can build and deploy AI apps including chat apps and knowledge retrieval apps.
Deploy the open source app to your own infrastructure without using managed cloud products.
Yes, supported through Open AI compatible endpoints.
PDF, DOCX, TXT, CSV, XLSX.
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