Qdrant @qdrant_engine
High-performance Rust-based vector search engine. https://t.co/362gvLXHcw qdrant.tech Joined December 2020-
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Embeddings power RAG, vector search, agents & recsys, but making them production-ready is another story. At 𝗩𝗲𝗰𝘁𝗼𝗿 𝗦𝗽𝗮𝗰𝗲 𝗗𝗮𝘆, @basetenco's @rapprach will share how to tackle throughput & latency challenges in embedding workflows and boost performance at scale.…
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We’re excited that Marcel Claus-Ahrens, @n8n Ambassador, will be speaking at 𝗩𝗲𝗰𝘁𝗼𝗿 𝗦𝗽𝗮𝗰𝗲 𝗗𝗮𝘆 hosted by Qdrant. His talk will walk through: - Building a Qdrant-powered RAG Agent in n8n - Indexing a knowledge base - Evaluating with LLM-as-a-Judge and an ideal…
Qdrant retweeted
I just wrote a new article for the @qdrant_engine website, introducing the MUVERA algorithm and describing its impact on the search quality and speed. qdrant.tech/articles/muver…
🖼️+📝 = Smarter embeddings. At 𝗩𝗲𝗰𝘁𝗼𝗿 𝗦𝗽𝗮𝗰𝗲 𝗗𝗮𝘆, Michael Günther from @jina AI will dive into 𝗩𝗶𝘀𝗶𝗼𝗻-𝗟𝗮𝗻𝗴𝘂𝗮𝗴𝗲 𝗠𝗼𝗱𝗲𝗹𝘀, a new backbone for multimodal embeddings. From tackling the modality gap to boosting efficiency with quantization, learn how…
Fieldly.ai built a wearable note taker that continuously records, transcribes, and makes conversations instantly searchable. But their first vector database couldn’t keep up, failing on ~10% of requests. After migrating to @qdrant_engine, Fieldy achieved: ✅…
"Blazingly fast" search engine benchmarks? Not so fast. At 𝗩𝗲𝗰𝘁𝗼𝗿 𝗦𝗽𝗮𝗰𝗲 𝗗𝗮𝘆, Roman Grebennikov from @Delivery Hero will reveal how benchmarks can mislead, and how his team built a reproducible harness & public leaderboard to make comparisons fair and transparent.…
Before the main event kicks off in Berlin on Sept 26, don't miss our exclusive pre-conference workshop led by @LukawskiKacper: Beyond Similarity: Improving Retrieval in RAG This hands-on 90-minute workshop will explore hybrid retrieval architectures, multi-vector…
🔎 How do you build a 𝘳𝘦𝘭𝘪𝘢𝘣𝘭𝘦 𝘧𝘰𝘶𝘯𝘥𝘢𝘵𝘪𝘰𝘯 for 𝗗𝗲𝗲𝗽 𝗥𝗲𝘀𝗲𝗮𝗿𝗰𝗵? At 𝗩𝗲𝗰𝘁𝗼𝗿 𝗦𝗽𝗮𝗰𝗲 𝗗𝗮𝘆 𝟮𝟬𝟮𝟱, AskNews co-founder Robert Caulk will present their vision for a 𝗡𝗲𝘄𝘀 𝗦𝗹𝗲𝘂𝘁𝗵: 📡 Structuring and retrieving news data with hybrid…
How do you build a reliable foundation for Deep Research? 📰🔎 At #VectorSpaceDay, AskNews co-founder Robert Caulk will share how they use hybrid retrieval + structured news data to power investigative journalism, risk monitoring & fact checking. buff.ly/AoTJLJ3
⚖️ Hybrid Search in #Legal #AI with Qdrant & @n8n_io @krotenWanderung built an end-to-end hybrid retrieval pipeline for legal data, from embedding and indexing to evaluation and a simple legal AI assistant. You’ll learn: ✔️ Qdrant community node for batch uploads and hybrid…
Interested in agent-powered retrieval with Haystack & Qdrant? Bilge Yücel at @deepset_ai is covering this and more at Vector Space Day in Berlin. buff.ly/AoTJLJ3
Join us + @cognee_ for the talk Building Memory for AI Agents. Founder Vasilije Markovic will talk through building cognee, a scalable AI Memory Python SDK that: - Integrates structured and unstructured company data with LLMs - Supports multiple graph and vector databases -…
At Vector Space Day @gooddata will present Scaling Real-Time RAG for Analytics: A Qdrant-Powered AI Assistant Framework. buff.ly/9dGDb5f
Filip Makrauli from @superlinked is joining us at Vector Space Day in Berlin. His talk, Beyond-Text Only Retrieval, will show how Superlinked built a custom LangChain retriever with a mixture of encoders, unlocking richer, multi-modal pipelines. Join: buff.ly/9dGDb5f
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