Building AI With MongoDB: Integrating Vector Search And Cohere to Build Frontier Enterprise Apps
Blog post from MongoDB
Cohere is a leading enterprise AI platform that builds large language models (LLMs) to help businesses leverage their data effectively. Its models offer the best performance-cost tradeoff, are cloud-agnostic, and can be deployed in production at scale. Cohere's Embed 3 and Rerank 3 models can be used with MongoDB Atlas Vector Search to create a state-of-the-art semantic search system. The new Embed Jobs endpoint allows entire data sets to be passed in one operation, improving developer experience. Pairing Cohere's capabilities with MongoDB Atlas provides a proven OLTP database for high read and write throughput, making it valuable for developers building sophisticated gen AI apps.
| Trend | Post Mentions | Total Month Mentions | Posts | Companies | MoM |
|---|---|---|---|---|---|
| Vector Search | 23 | 2,722 | 279 | 102 | +43% |
| RAG | 4 | 1,867 | 232 | 78 | +54% |
| LLM | 2 | 3,669 | 412 | 154 | +40% |
| Real-time | 2 | 2,509 | 695 | 218 | -9% |
| Developer Experience | 1 | 287 | 186 | 98 | -17% |
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