5 reasons why I'm building our RAG application on Upsun
Blog post from Upsun
Developers are increasingly leveraging Large Language Models (LLMs) and techniques like Retrieval-Augmented Generation (RAG) to enhance natural language processing applications, with platforms like Upsun providing an ideal environment for such developments. Robert Douglass, as an Entrepreneur in Residence at Open Strategy Partners, highlights Upsun's advantages for building RAG applications, including its managed vector databases that support semantic querying, efficient cloning for testing various chunking methods, and cost-effective embedding management. Upsun also offers secure management of API keys and secrets, ensuring protection against unauthorized access and unpredictable costs. Additionally, it supports modern development tools like Django and FastAPI, along with robust build processes that ensure security and performance. These features make Upsun a compelling choice for developers seeking to create scalable, secure, and high-performance RAG applications.
| Trend | Post Mentions | Total Month Mentions | Posts | Companies | MoM |
|---|---|---|---|---|---|
| RAG | 12 | 2,177 | 276 | 82 | +12% |
| LLM | 8 | 3,598 | 465 | 143 | -7% |
| Vector Search | 8 | 4,605 | 291 | 90 | +25% |
| Secrets Management | 2 | 1,022 | 103 | 53 | -20% |
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