Qdrant Meets Google Gemini Embedding 2
Neil Kanungo
March 10, 2026
We Raised $50M to Build Composable Vector Search as Core Infrastructure
Andre Zayarni
March 12, 2026
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Qdrant Blog
Navigating challenges and innovations in search technologies
Podcast on search and LLM with Datatalk.club
Atita Arora
January 12, 2024
Optimizing an Open Source Vector Database with Andrey Vasnetsov
Learn key strategies for optimizing vector search from Andrey Vasnetsov, CTO at Qdrant. Dive into techniques like efficient indexing for improved performance.
Demetrios Brinkmann
January 10, 2024
Vector Search Complexities: Insights from Projects in Image Search and RAG - Noé Achache | Vector Space Talks
Noé Achache shares insights on vector search complexities, discussing projects on image matching, document retrieval, and handling sensitive medical data with practical solutions and industry challenges.
Demetrios Brinkmann
January 09, 2024
How to Superpower Your Semantic Search Using a Vector Database Vector Space Talks
Unlock the secrets of supercharging semantic search with Nicolas Mauti's insights on leveraging vector databases. Discover advanced strategies.
Demetrios Brinkmann
January 09, 2024
Building LLM Powered Applications in Production - Hamza Farooq | Vector Space Talks
Hamza Farooq presents the future of large language models, complex search, and copilot, discussing real-world applications and the challenges of implementing these technologies in production.
Demetrios Brinkmann
January 09, 2024
Building a High-Performance Entity Matching Solution with Qdrant - Rishabh Bhardwaj | Vector Space Talks
Rishabh Bhardwaj, a Data Engineer at HRS Group, discusses building a high-performance hotel matching solution with Qdrant, addressing data inconsistency, duplication, and real-time processing challenges.
Demetrios Brinkmann
January 09, 2024
FastEmbed: Fast & Lightweight Embedding Generation - Nirant Kasliwal | Vector Space Talks
Nirant Kasliwal discusses the efficiency and optimization techniques of FastEmbed, a Python library designed for speedy, lightweight embedding generation in machine learning applications.
Demetrios Brinkmann
January 09, 2024
When music just doesn't match our vibe, can AI help? - Filip Makraduli | Vector Space Talks
Filip Makraduli discusses using human language and AI to capture music vibes, encoding text with sentence transformers, generating recommendations through vector spaces, integrating Streamlit and Spotify API, and future improvements for AI-powered music recommendations.
Demetrios Brinkmann
January 09, 2024
Binary Quantization - Andrey Vasnetsov | Vector Space Talks
Andrey Vasnetsov, CTO of Qdrant, discusses the concept of binary quantization and its benefits in vector indexing, including the challenges and potential future developments of this technique.
Demetrios Brinkmann
January 09, 2024
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