Weaviate 1.23 Release
Blog post from Weaviate
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.
| Trend | Post Mentions | Total Month Mentions | Posts | Companies | MoM |
|---|---|---|---|---|---|
| LLM | 5 | 2,086 | 277 | 120 | -36% |
| RAG | 2 | 734 | 109 | 45 | -37% |
| Vector Search | 2 | 1,058 | 161 | 76 | -60% |
| Developer Experience | 1 | 246 | 139 | 84 | -24% |
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