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Add a method that exposes a similarity search with corresponding normalized similarity scores. Implement only for FAISS now. ### Motivation: Some memory definitions combine `relevance` with other scores, like recency , importance, etc. While many (but not all) of the `VectorStore`'s expose a `similarity_search_with_score` method, they don't all interpret the units of that score (depends on the distance metric and whether or not the the embeddings are normalized). This PR proposes a `similarity_search_with_normalized_similarities` method that lets consumers of the vector store not have to worry about the metric and embedding scale. *Most providers default to euclidean distance, with Pinecone being one exception (defaults to cosine _similarity_).* --------- Co-authored-by: Harrison Chase <hw.chase.17@gmail.com>