v.0.0.4

What's Changed

The previous SBERT all-MiniLM-L6-v2 was not giving great results, so doing a couple of large changes to improve results of the model:

• Using asymmetric search much more like a search engine would with msmarco-distilroberta-base-v3
• Including more training data: book author and book review from the original goodreads dataset to pull out semantic meaning in the search results
• Reconfiguring Redis indexer to write everything as a hash versus having multiple hash lookups
• Remove Grafana for now - more noise than it's worth
• Including the author in the resultset

• A number of fixes: by @veekaybee in #31
• Use PyTorch CPU only dependencies by @veekaybee in #33
• Retrain embeddings using asymmetric semantic search by @veekaybee in #39
• Fixing Docker Compose for prod by @veekaybee in #41
• Indexing speed by @veekaybee in #42

Full Changelog: v.0.0.3...v.0.0.4