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This commit adds the ability to generate embeddings using the llama.
The motivation for this is to be able to use llama for embeddings in combination with a vector store, like Qdrant.
This commit also adds an example that demonstrates how to use the llm-chain-llama crate for generating embeddings and then use the Qdrant vector store for storing and searching for similar documents.
Example of running simliarity_search_llama: