Advanced Retrieval with ColPali & Qdrant Vector Database
Sabrina Aquino
·November 05, 2024
Optimizing ColPali for Retrieval at Scale, 13x Faster Results
Evgeniya Sukhodolskaya, Sabrina Aquino
·November 27, 2024
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Qdrant Blog
Chat with a codebase using Qdrant and N8N
Building a RAG-based chatbot using Qdrant and N8N to chat with a codebase on GitHub
Anush Shetty
·January 06, 2024
"Vector search and applications" by Andrey Vasnetsov, CTO at Qdrant
Andrey Vasnetsov, Co-founder and CTO at Qdrant has shared about vector search and applications with Learn NLP Academy.
Alyona Kavyerina
·December 11, 2023
From Content Quality to Compression: The Evolution of Embedding Models at Cohere with Nils Reimers
Nils Reimers head of machine learning at Cohere comes on the recent vector space talks to share details about their latest embedding V3 model.
Demetrios Brinkmann
·November 19, 2023
Powering Bloop semantic code search
Bloop is a fast code-search engine that combines semantic search, regex search and precise code navigation
Qdrant Team
·February 28, 2023
Pienso & Qdrant: Future Proofing Generative AI for Enterprise-Level Customers
Why Pienso chose Qdrant as a cornerstone for building domain-specific foundation models.
Qdrant Team
·February 28, 2023
Qdrant supports ARM architecture!
Qdrant's support for ARM architecture marks a pivotal step in enhancing accessibility and performance. This development optimizes data indexing and retrieval.
Kacper Łukawski
·September 21, 2022
Qdrant has joined NVIDIA Inception Program
Along with the various opportunities it gives, we are the most excited about GPU support since it is an essential feature in Qdrant's roadmap. Stay tuned for our new updates.
Alyona Kavyerina
·April 04, 2022
Qdrant and Jina integration: storage backend support for DocArray
We are happy to announce that Jina.AI integrates Qdrant engine as a storage backend to their DocArray solution.
Alyona Kavyerina
·March 15, 2022
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