https://github.com/mxagar/rag-app-examples
RAG application examples.
https://github.com/mxagar/rag-app-examples
chatbot llm openai rag
Last synced: about 2 months ago
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RAG application examples.
- Host: GitHub
- URL: https://github.com/mxagar/rag-app-examples
- Owner: mxagar
- Created: 2025-06-30T09:46:59.000Z (about 1 year ago)
- Default Branch: main
- Last Pushed: 2025-09-19T18:22:17.000Z (10 months ago)
- Last Synced: 2025-09-19T21:10:34.951Z (10 months ago)
- Topics: chatbot, llm, openai, rag
- Language: Jupyter Notebook
- Homepage:
- Size: 3.78 MB
- Stars: 0
- Watchers: 0
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
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README
# Retrieval Augmented Generation (RAG) Examples
This repository contains Question-Answering (QA) and Retrieval Augmented Generation (RAG) examples.
Each example/subproject is independent; specific sources, necessary packages, setup & Co. are explained inside each subproject folder.
- [`qa-finetuning/`](./qa-finetuning/): an LLM is fine-tuned to accomplish extractive QA tasks on a new dataset.
- [`qa-rag/`](./qa-rag/): a basic system of Retrieval Augmented Generation (RAG) is implemented to showcase how to build a chatbot which dynamically answers questions of new datasets.
- [`advanced-rag-langchain/`](./advanced-rag-langchain/): notes and examples from the official LangChain course [RAG from Scratch](https://github.com/langchain-ai/rag-from-scratch).
- [`local-rag/`](./local-rag/): a local Retrieval Augmented Generation (RAG) application, packaged and deployable.
- [`azure-rag/`](./azure-rag/): a Retrieval Augmented Generation (RAG) application which uses Azure services and deployed on the same cloud provider.
Other related repositories of mine:
- My personal notes on the O'Reilly book [Generative Deep Learning, 2nd Edition, by David Foster](https://github.com/mxagar/generative_ai_book)
- My personal notes on the O'Reilly book [Natural Language Processing with Transformers, by Lewis Tunstall, Leandro von Werra and Thomas Wolf (O'Reilly)](https://github.com/mxagar/nlp_with_transformers_nbs)
- My personal notes on the Udacity Nanodegree [Generative AI](https://github.com/mxagar/generative_ai_udacity)
- My personal notes on the University of Duke / Coursera course [Operationalizing LLMs on Azure](https://github.com/mxagar/generative_ai_udacity/tree/main/06_RAGs_DeepDive/02_Azure_LLMs)
- [HuggingFace Guide: `mxagar/tool_guides/hugging_face`](https://github.com/mxagar/tool_guides/tree/master/hugging_face)
- [LangChain Guide: `mxagar/tool_guides/langchain`](https://github.com/mxagar/tool_guides/tree/master/langchain)
- [LLM Tools: `mxagar/tool_guides/llms`](https://github.com/mxagar/tool_guides/tree/master/llms)
- [NLP Guide: `mxagar/nlp_guide`](https://github.com/mxagar/nlp_guide)
- [Deep Learning Methods for CV and NLP: `mxagar/computer_vision_udacity/CVND_Advanced_CV_and_DL.md`](https://github.com/mxagar/computer_vision_udacity/blob/main/03_Advanced_CV_and_DL/CVND_Advanced_CV_and_DL.md)
- [Deep Learning Methods for NLP: `mxagar/deep_learning_udacity/DLND_RNNs.md`](https://github.com/mxagar/deep_learning_udacity/blob/main/04_RNN/DLND_RNNs.md)
Mikel Sagardia, 2025
No guaranties.