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This Jupyter notebook represents my attempt to implement a context-enhanced question answering setup using open source tools that can be executed locally:

• The HuggingFace modelall-mpnet-base-v2 is utilized for generating vector representations of text
• The resulting embedding vectors are stored, and a similarity search is performed usingFAISS
• Text generation is accomplished through the utilization ofGPT4ALL.

The objective of this personal project is to address the issue of data that cannot be shared with OpenAI or similar APIs. Additionally, it serves as my initial encounter withLangChain, a framework designed for developing applications powered by language models.

To run the notebook, you may try accessing it throughGoogle Colab or import the .ipynb file from this repository into a new Google Colab environment. Subsequently, please refer to the instructions provided within the notebook itself and/or the accompanyingYoutube video for guidance.