This section contains integration examples showcasing how Fireworks AI can be used with various platforms, databases, and tools contributed by our ecosystem partners and community. Each integration comes with its own setup instructions and required dependencies.
Partner materials are being consolidated and migrated here. Stay tuned! Please feel free to contribute!
| Integration | Description | Partner | What the Partner Does | Key Features | Setup Instructions | Link to Notebooks |
|---|---|---|---|---|---|---|
| MongoDB Atlas | Integration with MongoDB Atlas for Retrieval-Augmented Generation (RAG) applications using vector search. | MongoDB | Provides a scalable, cloud-based database solution with built-in vector search capabilities. | - Native vector search support for fast, efficient retrieval. - Secure, scalable cloud database. - Integration with Fireworks for embedding generation and LLM inference. |
MongoDB Atlas Setup Guide | Materials |
Interested in contributing an integration? We encourage partners and the community to share their integration examples. Please follow the Contribution Guide for details on how to submit an integration.
Please be sure to also submit the summary information for the table above in the form of:
| Partner Integration X | Example showing how Fireworks integrates with an external tool or service. | Partner X | Brief description of the partner’s core offerings and services. | Key features of this integration, such as improved AI workflows, scalability, etc. | See the dedicated README for this integration in the Partner X folder. |