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+---
+title: "Announcing the Vector Space Day 2025 Speaker Lineup"
+draft: false
+slug: vector-space-day-lineup-2025
+short_description: "We are just days away from Vector Space Day in Berlin, and the full speaker lineup is here! "
+description: "We are just days away from Vector Space Day in Berlin, and the full speaker lineup is here! This year’s program spans keynotes, deep-dive technical sessions, and lightning talks, covering everything from benchmarking search engines to scalable AI memory and multimodal embeddings."
+preview_image: /blog/vector-space-day-2025-lineup/lineup-hero.jpg
+social_preview_image: /blog/vector-space-day-2025-lineup/lineup-hero.jpg
+date: 2025-09-15
+author: Qdrant
+featured: true
+tags:
+  - news
+  - blog
+---
+
+# Announcing the Vector Space Day 2025 Speaker Lineup
+
+We are just days away from [Vector Space Day](https://luma.com/p7w9uqtz) in Berlin, and the full speaker lineup is here\! This year’s program spans keynotes, deep-dive technical sessions, and lightning talks, covering everything from benchmarking search engines to scalable AI memory and multimodal embeddings. Here’s what to expect.
+
+## Opening Keynotes
+
+The day begins with perspectives from across the ecosystem:
+
+* **Andre Zayarni, Andrey Vasnetsov,** and **Neil Kanungo** sharing Qdrant’s vision for the future of vector search and how devs can engage with the Qdrant Community.  
+* **Robert Eichenseer (Microsoft), Kevin Cochrane (Vultr),** and **Inaam Syed (AWS)** offering insights on how cloud, infrastructure, and developer communities are reshaping AI systems.
+
+## Breakout Sessions
+
+#### Track A: Milky Way \- Architectures, Infrastructure and Multimodal Retrieval
+
+* **AskNews** \- *Building a News Sleuth for the Deep Research Paradigm:* How high-performance hybrid retrieval can support investigative journalism and geopolitical risk monitoring.  
+* **Delivery Hero** \- *How to Cheat at Benchmarking Search Engines:* Lessons from building reproducible benchmarking harnesses and public leaderboards.  
+* **Neo4j** \- *Hands-On GraphRAG:* Practical guidance on combining knowledge graphs with RAG for more explainable retrieval.  
+* **Superlinked** \- *Beyond Text-Only:* How mixture of encoders unlocks advanced retrieval using Google DeepMind’s latest embeddings.  
+* **Jina AI** \- *Vision-Language Models for Embedding:* Training insights for multimodal embeddings that span text, diagrams, and UI screenshots.  
+* **TwelveLabs** \- *Practical Multimodal Embeddings:* Real workflows for cross-modal video search and recommendations.  
+* **Baseten** \- *High Throughput, Low Latency Embedding Pipelines:* Patterns and open-source tools for production-ready embedding inference.  
+* **Google** **DeepMind** \- *Vector Search with Gemini and EmbeddingGemma:* Deploying cutting-edge embeddings with the right indexing strategies.
+
+#### Track B: Andromeda \- AI Workflows, Agents and Applications
+
+* **Linkup** \- *Beyond Web Search:* Infrastructure for AI-native agents that need structured, real-time web intelligence.  
+* **Cognee** \- *Building Scalable AI Memory:* Abstractions that sync graphs and vectors for durable, multi-backend AI memory.  
+* **n8n** \- *Evaluate Your Qdrant-RAG Agents:* A live no-code session on agent evaluation using n8n’s native tools.  
+* **Arize AI** \- *Self-Improving Evaluations:* Feedback loops and tracing for reliable agentic RAG in production.  
+* **LlamaIndex** \- *Vector Databases for Workflow Engineering:* Using Qdrant to orchestrate context-aware AI pipelines.  
+* **deepset** \- *Agent-Powered Retrieval with Haystack and Qdrant:* When retrieval agents outperform or overcomplicate pipelines.  
+* **GoodData** \- *Scaling Real-Time RAG for Analytics:* Lessons from streaming BI artifacts into Qdrant for natural-language analytics.  
+* **Equal** \- *Redefining Long-Term Memory:* Streaming-driven ingestion architectures that give agents enterprise-grade responsiveness.
+
+## Lightning Talks
+
+The afternoon features rapid-fire sessions from innovators including:
+
+* **bakdata** \- Streaming pipelines with Kafka and Qdrant.  
+* **KI Reply** \- GDPR-compliant retrieval with graph-augmented RAG.  
+* **iCompetence** \- Personalized product discovery with multimodal vectors.  
+* **Raiva** **Technologies** \- Voice-first multimodal search with Qdrant.  
+* **Superlinked** \- Stories from the AI Search Frontier.
+
+#### 👉 [**View Full Agenda Details**](https://try.qdrant.tech/hubfs/VSD-2025-program.pdf)
+
+## Hackathon Awards and After Party
+
+We will celebrate the winners of the [Think Outside the Bot Hackathon](https://try.qdrant.tech/hackathon-2025), followed by closing remarks and an after party with live DJ and networking.
+
+## Don’t Miss Out
+
+Vector Space Day 2025 takes place in Berlin on September 26, 2025\. Space is limited, and registration is filling fast\!
+
+#### [**Register today**](https://luma.com/p7w9uqtz)
+
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