Add retrieval augmented generation to your AI app with generated SDKs
Blog post from Liblab
Back to the liblab blog` is a blog post from `liblab` that explains how to add retrieval augmented generation (RAG) to an AI app using autogenerated SDKs. RAG allows an LLM to reason over its own data, rather than just relying on internet-based knowledge. The post highlights the benefits of using generated SDKs to wrap internal APIs, making it easier to add RAG to an app and freeing up time for developers to focus on building the best AI experience for their users. The tutorial uses `Semantic Kernel` and `ChatGPT`, along with the `C#` SDK generation capabilities of `liblab`, to walk readers through the process of building a plugin that retrieves cat facts, and using it in an app.
| Trend | Post Mentions | Total Month Mentions | Posts | Companies | MoM |
|---|---|---|---|---|---|
| LLM | 27 | 3,398 | 379 | 136 | +44% |
| RAG | 24 | 1,795 | 223 | 72 | +55% |
| AI Coding Assistant | 2 | 281 | 70 | 31 | -19% |
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