Berri.ai

Freemium

A tool to create chatGPT apps with own data.

Berri.ai is a technical platform designed to help users create custom ChatGPT applications using their own data. Key features include API-driven instance creation, support for multiple data sources, and tools for custom chunking and fine-tuning. It is built for developers and technical teams who embed AI chat capabilities into websites or Slack environments (verified: 2026-01-29).

Jan 29, 2026
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Pricing: Freemium
Last verified: Jan 29, 2026
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Key facts

Pricing

Freemium

Use cases

Developers building custom ChatGPT applications that require integration with their own proprietary data sources (verified: 2026-01-29), Content creators automating the generation of custom GPT-4 instances specifically for Substack blog posts (verified: 2026-01-29), Technical teams embedding interactive Berri applications directly into their existing websites for user engagement (verified: 2026-01-29)

Strengths

Users create instances using multiple data sources to provide a comprehensive knowledge base for their applications (verified: 2026-01-29), The platform provides API endpoints for fine-tuning instances and updating data to maintain information accuracy over time (verified: 2026-01-29), Developers implement custom chunking strategies to improve the quality of document-based question and answering tasks (verified: 2026-01-29)

Limitations

Users must interact with API endpoints such as POST and GET to manage and query their instances (verified: 2026-01-29), The system requires manual configuration of templates and instances through the provided documentation and API reference (verified: 2026-01-29)

Last verified

Jan 29, 2026

Strengths

  • Users create instances using multiple data sources to provide a comprehensive knowledge base for their applications (verified: 2026-01-29)
  • The platform provides API endpoints for fine-tuning instances and updating data to maintain information accuracy over time (verified: 2026-01-29)
  • Developers implement custom chunking strategies to improve the quality of document-based question and answering tasks (verified: 2026-01-29)

Limitations

  • Users must interact with API endpoints such as POST and GET to manage and query their instances (verified: 2026-01-29)
  • The system requires manual configuration of templates and instances through the provided documentation and API reference (verified: 2026-01-29)

FAQ

How do developers integrate Berri AI applications into their existing web infrastructure?

Developers embed their Berri applications directly into their websites or build custom Slackbots to call Berri and ChatGPT endpoints. The platform provides specific tutorials for JavaScript integration and endpoint management to facilitate these connections (verified: 2026-01-29).

What methods are available for managing the data stored within a Berri AI instance?

Berri AI allows users to update instance data, delete instances, and perform fine-tuning through dedicated POST and GET API endpoints. This ensures that the data used by the ChatGPT applications remains relevant and is modified as requirements change (verified: 2026-01-29).

Does the platform support complex data processing for improved document question and answering?

The platform supports custom chunking and multi-prompting tutorials to help users improve document QA performance. These features provide precise data handling when creating instances from multiple data sources (verified: 2026-01-29).