Libraria Integration enables you to create and embed custom ChatGPT assistants powered by your own data. With Relevance AI, you can enhance these assistants to deliver smarter, data-driven responses and streamline your workflows.
Libraria allows you to create and manage AI agents powered by your own data, enabling real-time interactions. Relevance AI amplifies this capability by providing intelligent insights and automations that adapt to your needs.
Knowledge Orchestration
Seamlessly organizes and connects vast document repositories to enhance the agent's contextual understanding and response accuracy.
Semantic Search Excellence
Leverages advanced natural language understanding to deliver precise, context-aware search results across enterprise content.
Dynamic Knowledge Evolution
Continuously updates and refines knowledge bases through automated relationship mapping and content classification.
Relevance AI seamlessly integrates with Libraria to enhance your custom ChatGPT assistants within your workflows.
What you’ll need
You don't need to be a developer to set up this integration. Follow this simple guide to get started:
- A Relevance AI account
- An Airtable account with access to the base and table you'd like to use
- Authorization (you'll connect securely using OAuth—no sensitive info stored manually)
Security & Reliability
Libraria Integration enables you to create and embed custom ChatGPT assistants powered by your own data, ensuring that only authorized workflows access your documents. The integration allows for quick document ingestion and processing, custom AI assistant creation, and real-time query capabilities through a simple API interface.
Utilizing secure OAuth-based authentication, Libraria ensures that your API operations (like adding documents, creating queries, and making custom API calls) are handled efficiently in the background—so you don’t have to worry about errors, formatting, or limits.
Built-in validation and type conversion ensure your workflows run smoothly, even when data formats vary. Maintain organized library structures and implement retry logic for failed document additions to enhance your integration experience.
No training on your data
Your data remains private and is never utilized for model training purposes.
Security first
We never store anything we don’t need to. The inputs or outputs of your tools are never stored.
To get the most out of the Libraria + Relevance AI integration without writing code:
- Start with a well-structured library: Organize your documents with clear naming conventions and consistent formats for easier retrieval.
- Utilize the API effectively: Leverage the provided API endpoints for adding documents and creating queries to streamline your workflow.
- Ensure proper authentication: Double-check your OAuth credentials and permissions to avoid authentication errors during API calls.
- Test queries with sample data: Validate your queries on a small set of documents before scaling up to ensure accuracy and performance.
- Monitor API usage: Keep an eye on your request limits and implement caching strategies to optimize performance and avoid throttling.
