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Langchain RAG_Project

This is a sample project of RAG (Retrieval Augmented Generation as a Service)

I want to clarify that I'm not a professional developer; I simply have a passion for technology. A big thank you to all those individuals who generously share their knowledge across various media platforms.

Please note you will need to Install dependencies. Depending on your system and set up, you will need to install different packages. As you run and debug your code, you will be able to learn which ones.

You'll also need to set up an OpenAI account (and set the OpenAI key in your environment variable) for this to work. Quick tutorial to set Python: https://platform.openai.com/docs/quickstart?context=python including how to set the API Key https://platform.openai.com/api-keys.

Make domain data available to the program, Load it, process it, embed it and load it in a Chroma DB.

python Loader.py

Query the Chroma DB. Retrieve the relevant Domain data chunks, enhance the promot, call OpenAI LLM and generate the answer

python RetrieverandGenerator.py "How do the different AI strategies of Cisco, Amazon, Alphabet and Meta compare?"