Weaviate 1.23 introduces AutoPQ, which automatically triggers Product Quantization (PQ) for vector indexing, improving the developer experience. It also adds a new flat vector index type with Binary Quantization for small collections and multi-tenancy use cases. Additionally, this release integrates Weaviate with open-source large language models like Llama2-70b, CodeLlama-34b, or Mistral-7B-Instruct through the generative-anyscale module. The Python client has been updated to support new features and performance improvements include lazy shard loading and automatic resource limiting.