Qdrant
@qdrant_engine
Open-Source Vector Search Engine and Vector Database written in Rust https://t.co/nkLUmsgxhV 🦀 Also available in the cloud https://t.co/wBitjnGWgi ⛅
ID:1338631899422617600
https://qdrant.tech/ 14-12-2020 23:48:35
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🎯Happy to share that Qdrant vector database has been integrated into #OPEA to support RAG! Thanks to the contributor Anush from @qdrant_ngine. Wei Li Huma Abidi Melissa Evers Arun Gupta and Ke. Go, #OPEA !
Speed up your RAG projects with semantic caching!
Join Daniel Romero for an in-depth exploration of how semantic caching works and how it can minimize latency and boost your app performance. 🚀
Watch the video: buff.ly/3UtjE8Z
Let's RAG with Spring AI and Ollama!
This article, written by ManthaPavanKumar, goes beyond introductory tutorials. It equips you to build a robust Java-based RAG system for tackling complex document analysis.
It leverages Spring AI to organize documents, stores critical data…