Weaviate 1.34 Release
Blog post from Weaviate
Weaviate v1.34 introduces several new features and improvements designed to enhance performance and usability for its users. The release includes preview features like flat index support with RQ quantization for efficient multi-tenancy, server-side batching for better data ingestion, and sneak peeks of upcoming C# and Java v6 client libraries. The update also implements the ACORN filter strategy as the default for faster filtered searches and introduces new observability metrics for improved monitoring and operational insights. Support for Contextual AI model integrations allows for advanced retrieval augmented generation and reranking queries. Additionally, multiple bug fixes and performance enhancements further solidify Weaviate's functionality, making it more robust and easier to scale. The release is available open-source and on Weaviate Cloud, with resources for those interested in contributing or upgrading their systems.
| Trend | Post Mentions | Total Month Mentions | Posts | Companies | MoM |
|---|---|---|---|---|---|
| Observability | 6 | 2,534 | 521 | 146 | +9% |
| Vector Search | 5 | 1,303 | 288 | 128 | -18% |
| RAG | 3 | 1,128 | 182 | 76 | +4% |
| Developer Experience | 2 | 481 | 252 | 98 | -36% |
| Data Pipeline | 1 | 336 | 120 | 61 | -36% |
| Serverless | 1 | 701 | 157 | 77 | -20% |
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