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 | 2,800 | 287 | 106 | +39% |
| RAG | 4 | 1,870 | 233 | 79 | +53% |
| LLM | 2 | 3,755 | 420 | 157 | +40% |
| Real-time | 2 | 2,599 | 715 | 226 | -11% |
| Developer Experience | 1 | 294 | 190 | 100 | -16% |
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