MongoDB Atlas Vector Search Makes Real-Time AI a Reality with Confluent
Blog post from MongoDB
MongoDB Atlas Vector Search has integrated with Confluent Cloud, enabling users to access real-time data streams across their entire business and build cutting-edge Generative AI applications that are grounded in a real-time, contextual, and trustworthy knowledge base. This integration allows for the creation of a real-time knowledge base, bringing real-time context at query time, building governed, secured, and trusted AI, experimenting, scaling, and innovating faster with trusted data streams. With this partnership, MongoDB Atlas Vector Search users can now tap into a continuously enriched real-time knowledge base to quickly scale and build AI-enabled applications using trusted data streams.
| Trend | Post Mentions | Total Month Mentions | Posts | Companies | MoM |
|---|---|---|---|---|---|
| Real-time | 22 | 2,396 | 582 | 180 | -6% |
| Vector Search | 13 | 1,580 | 209 | 74 | -14% |
| AI Model Fine-tuning | 1 | 528 | 102 | 50 | -21% |
| Data Pipeline | 1 | 331 | 141 | 65 | -16% |
| LLM | 1 | 2,414 | 305 | 109 | -22% |
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