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Agent Cloud

Agent Cloud

Creating data-connected agents with up-to-date vector data.

Agent Cloud

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

Secure data queries
LLM-powered interactions
Multi-source data sync
Local model embedding

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

Vector DataData SyncAI AgentsLLM IntegrationData Security

Pricing

Freemium

Features and Benefits

Data Connector Integration

Syncs data from over 260 sources, including databases and file uploads, for seamless integration into AI models.

4/5 uniqueness

Flexible LLM Support

Allows the use of both open-source and cloud-hosted LLMs, enabling localized or cloud-based inference for AI applications.

4/5 uniqueness

Built-in Data Pipeline

Automatically processes data by splitting, chunking, and embedding for improved retrieval and analysis.

3/5 uniqueness

Privacy and Security Options

Offers options for deploying on private infrastructure to maintain data privacy and control.

5/5 uniqueness

Custom Chunking Strategies

Supports semantic chunking for more coherent data segmentation, adaptable via API.

4/5 uniqueness

Integrations

Postgres
Snowflake
BigQuery
Confluence

Target Audience

Developers and companies needing secure, data-connected AI models.

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.

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