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@ -87,7 +87,7 @@ primitives.
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The design of PrivateGPT allows to easily extend and adapt both the API and the
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RAG implementation. Some key architectural decisions are:
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* Dependency Injection, decoupling the different componentes and layers.
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* Dependency Injection, decoupling the different components and layers.
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* Usage of LlamaIndex abstractions such as `LLM`, `BaseEmbedding` or `VectorStore`,
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making it immediate to change the actual implementations of those abstractions.
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* Simplicity, adding as few layers and new abstractions as possible.
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