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Extracting Product Insights from Unstructured text data using LLMs with LangChain

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llm-product-insights

Extracting Insights from unstructured data using Large Language Models (LLMs) for products 🚀.

Notebooks

This repository contains notebooks that showcase how to extract insights from car reviews and financial texts using LLMs, Langchain, and vector stores.

  1. Car Review Insights
  2. Company Finance Insights (Work in Progress) 🚧

Getting started

To get started with this repository, you will need to install the following dependencies:

  • Python 3.9+
  • transformers
  • bitsandbytes
  • accelerate
  • datasets
  • pinecone-client
  • langchain
  • pandas
  • matplotlib
  • seaborn
  • sentencepiece
  • xformers
  • datasets
  • peft

Once you have installed the dependencies, you can clone the repository and start exploring the notebooks.

Contributing

This repository is open source, and we welcome contributions from the community. If you have any suggestions for improvements, please feel free to open an issue or submit a pull request.

License

This repository is licensed under the MIT License.

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Extracting Product Insights from Unstructured text data using LLMs with LangChain

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