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feat(settings): Update default model to TheBloke/Mistral-7B-Instruct-v0.2-GGUF (#1415)
* Update LlamaCPP dependency * Default to TheBloke/Mistral-7B-Instruct-v0.2-GGUF * Fix API docs
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# API Reference
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The API is divided in two logical blocks:
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1. High-level API, abstracting all the complexity of a RAG (Retrieval Augmented Generation) pipeline implementation:
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- Ingestion of documents: internally managing document parsing, splitting, metadata extraction,
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embedding generation and storage.
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- Chat & Completions using context from ingested documents: abstracting the retrieval of context, the prompt
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engineering and the response generation.
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2. Low-level API, allowing advanced users to implement their own complex pipelines:
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- Embeddings generation: based on a piece of text.
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- Contextual chunks retrieval: given a query, returns the most relevant chunks of text from the ingested
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documents.
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