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@@ -44,13 +44,6 @@ Please note this is experimental - it will be significantly slower and the quali
![summary](https://i.imgur.com/sUcay6a.gif)
## Architecture
![Architecture](https://github.com/vasudev-pal/BriefGPT/assets/120969150/687863e4-5a4f-415e-92c8-3354b1fb3f8d)
The Architecture elaborates the workflow of the model.
1. It takes input Text Document
2. Create Words Embeddings using FAISS[performs similarity search and words that are close in meaning are clustered near to one another in vector space]
3. Taking extracted ebeddings as input and constructing a prompt, and then sending that to the LLM.
Improved support for locally run LLM's is coming.