What is Agentic RAG? Building Agents with Qdrant
Agents are a new paradigm in AI, and they are changing how we build RAG systems. Learn how to build agents with Qdrant and which framework to choose.
Kacper Łukawski
·November 22, 2024
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Qdrant Articles
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Modern Sparse Neural Retrieval: From Theory to Practice
A comprehensive guide to modern sparse neural retrievers: COIL, TILDEv2, SPLADE, and more. Find out how they work and learn how to use them effectively.
Evgeniya Sukhodolskaya
·October 23, 2024
Qdrant Summer of Code 2024 - ONNX Cross Encoders in Python
A summary of my work and experience at Qdrant Summer of Code 2024.
Huong (Celine) Hoang
·October 14, 2024
An Introduction to Vector Databases
Discover what a vector database is, its core functionalities, and real-world applications.
Sabrina Aquino
·October 09, 2024
What is Vector Quantization?
In this article, we'll teach you about compression methods like Scalar, Product, and Binary Quantization. Learn how to choose the best method for your specific application.
Sabrina Aquino
·September 25, 2024
A Complete Guide to Filtering in Vector Search
Learn everything about filtering in Qdrant. Discover key tricks and best practices to boost semantic search performance and reduce Qdrant's resource usage.
Sabrina Aquino, David Myriel
·September 10, 2024
Qdrant Summer of Code 2024 - WASM based Dimension Reduction
My journey as a Qdrant Summer of Code 2024 participant working on enhancing vector visualization using WebAssembly (WASM) based dimension reduction.
Jishan Bhattacharya
·August 31, 2024
Qdrant Internals: Immutable Data Structures
Learn how immutable data structures improve vector search performance in Qdrant.
Andrey Vasnetsov
·August 20, 2024
Any* Embedding Model Can Become a Late Interaction Model... If You Give It a Chance!
We recently discovered that embedding models can become late interaction models & can perform surprisingly well in some scenarios. See what we learned here.
Kacper Łukawski
·August 14, 2024
Hybrid Search Revamped - Building with Qdrant's Query API
Our new Query API allows you to build a hybrid search system that uses different search methods to improve search quality & experience. Learn more here.
Kacper Łukawski
·July 25, 2024
BM42: New Baseline for Hybrid Search
Introducing BM42 - a new sparse embedding approach, which combines the benefits of exact keyword search with the intelligence of transformers.
Andrey Vasnetsov
·July 01, 2024
Data Privacy with Qdrant: Implementing Role-Based Access Control (RBAC)
Discover how Qdrant's Role-Based Access Control (RBAC) ensures data privacy and compliance for your AI applications. Build secure and scalable systems with ease. Read more now!
Qdrant Team
·June 18, 2024
Optimizing RAG Through an Evaluation-Based Methodology
Learn how Qdrant-powered RAG applications can be tested and iteratively improved using LLM evaluation tools like Quotient.
Atita Arora
·June 12, 2024
Semantic Cache: Accelerating AI with Lightning-Fast Data Retrieval
Semantic cache is reshaping AI applications by enabling rapid data retrieval. Discover how its implementation benefits your RAG setup.
Daniel Romero, David Myriel
·May 07, 2024
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