AI_Devs-RAG

Simple RAG implementation for aidevs.pl course content.

Technologies used

• OpenAI API. Used models:
  • text-embedding-ada-002 to generate embeddings.
  • gpt-3.5-turbo-16k for re-rank result obtained from vector database.
  • gpt-3.5-turbo-0125 to get final answer.
• Qdrant - vector database to store embeddings.
• C# to write console app to ask questions 😊

How to run

• Run Qdrant locally
• Configure settings in the file appsettings.json
  • Set Qdrant base URL.
  • Set Qdrant collection name - in this collection will be stored all embeddings.
  • Set Open AI API key: https://platform.openai.com/docs/api-reference/api-keys.
• All documents which must be imported, copy to the folder Memories.
• Set ImportDocuments to true for the first run.
• Run the app and ask questions.
• Enjoy 😊

Course content is not included in the repository because it's not my property. 😊
It belongs to guys who prepare the course.

Some code is taken from this repository and converted to C# code.