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Ask .NET Rocks! questions with Semantic Kernel, GPT, and Chroma DB

Blog post from AssemblyAI

Post Details
Company
Date Published
Author
Niels Swimberghe
Word Count
3,851
Company Posts That Month
15
Language
English
Hacker News Points
-
Post removed?
No
Summary

In this tutorial, we built a simple .NET Core application that uses the OpenAI API to demonstrate the Retriever- Augmented Generation (RAG) pattern. We used semantic search to retrieve relevant pieces of text from a podcast transcript and then used a language model to generate answers based on those retrieved pieces of text. The code in this tutorial is for demonstration purposes only and should not be used as-is in production applications. Always ensure that your application complies with the terms of service of any third-party services it uses, including OpenAI's API.

Trends Found in this Post
Trend Post Mentions Total Month Mentions Posts Companies MoM
Vector Search 41 1,692 211 78 +87%
RAG 12 1,360 163 55 +97%
LLM 9 2,593 281 107 +38%
Secrets Management 7 848 97 60 +130%
OpenTelemetry 1 294 39 17 -29%
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