Qdrant 0.10 released
Blog post from Qdrant
Qdrant 0.10 introduces several enhancements, including the ability to store multiple vectors per object in a single collection, streamlining semantic search and reducing setup complexity. The update also features a new batch vector search capability, allowing multiple search requests to be processed with a single API call, thus minimizing network overhead and improving performance. Additionally, ARM support has been incorporated by providing Docker images specifically compiled for ARM platforms, enhancing accessibility and performance for ARM users. The update also introduces full-text filtering, which complements existing keyword filters, offering users increased flexibility in refining search results on Qdrant's vector database.
| Trend | Post Mentions | Total Month Mentions | Posts | Companies | MoM |
|---|---|---|---|---|---|
| Vector Search | 3 | 228 | 50 | 32 | -7% |
Use this post, company, and trend context to find content marketing opportunities, perform competitive analysis, or address product feature gaps via the Plushcap MCP server or the Plushcap API.