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2023-09-15 22:41:42 -07:00
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@@ -24,6 +24,8 @@ By selecting the right local models and the power of `LangChain` you can run the
- `run_localGPT.py` uses a local LLM to understand questions and create answers. The context for the answers is extracted from the local vector store using a similarity search to locate the right piece of context from the docs.
- You can replace this local LLM with any other LLM from the HuggingFace. Make sure whatever LLM you select is in the HF format.
This project was inspired by the original [privateGPT](https://github.com/imartinez/privateGPT).
## Built Using 🧩
- [LangChain](https://github.com/hwchase17/langchain)
- [HuggingFace LLMs](https://huggingface.co/models)