Building Gen AI Applications Using Iguazio and MongoDB
Blog post from MongoDB
Generative AI (genAI) has the potential to significantly enhance customer engagement, content creation, and process automation. However, operationalizing genAI applications presents several challenges such as engineering difficulties, LLM risks, and glue logic issues. The joint MongoDB and Iguazio solution addresses these problems by streamlining data processing and storage, enabling the development of resilient and scalable genAI applications. MongoDB Atlas serves as an end-to-end AI data management platform, offering a flexible multimodal document model for handling diverse data types. It also functions as a vector store with indexing and search capabilities for semantic analysis. Iguazio's AI platform streamlines the development of ML and genAI applications in production at scale, addressing scalability and governance issues. The combined solution can be used to create smart customer care agents and hyper-personalized banking agents. The integration of MongoDB Atlas with Iguazio's AI Platform allows for seamless data access and personalization, improving the overall performance and accuracy of genAI applications.
| Trend | Post Mentions | Total Month Mentions | Posts | Companies | MoM |
|---|---|---|---|---|---|
| LLM | 7 | 4,537 | 421 | 147 | +51% |
| RAG | 5 | 1,801 | 200 | 85 | +50% |
| Vector Search | 4 | 1,704 | 240 | 102 | -4% |
| Real-time | 3 | 2,310 | 734 | 231 | -11% |
| Reinforcement learning | 3 | 80 | 28 | 18 | +21% |
| Data Pipeline | 2 | 515 | 153 | 75 | +19% |
| AI Agents | 1 | 384 | 113 | 52 | +130% |
| AI Guardrails | 1 | 227 | 73 | 37 | +12% |
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