How ConvoSearch Boosted Revenue for D2C Brands with Qdrant
Daniel Azoulai
June 10, 2025
ColPali combines text and visual contexts for precise document retrieval, but scaling posed challenges. We achieved 13x faster retrieval using pooling and reranking, reducing vector counts by ~30x while retaining near-original accuracy. Explore the open-source demo to optimize your retrieval workflows!
Evgeniya Sukhodolskaya, Sabrina Aquino
November 27, 2024
Explore best practices for evaluating Retrieval-Augmented Generation (RAG) systems.
David Myriel
November 24, 2024
QA.tech uses Qdrant to power AI agents, enabling scalable, real-time web testing with custom embeddings and batch efficiency.
Qdrant
November 21, 2024
ColPali leverages vision language models and multivector embeddings to streamline complex document retrieval.
Sabrina Aquino
November 05, 2024
Learn how Sprinklr uses vector search to power AI tools for customer engagement.
Qdrant
October 17, 2024
Uncover insights with the Distance Matrix API, dynamically filter via Facet API, and offload additional payload to disk.
David Myriel
October 08, 2024
Join Qdrant and DeepLearning.AI’s free, beginner-friendly course to learn retrieval optimization and boost search performance in machine learning.
Qdrant
October 06, 2024
Enjoy special discounts from Qdrant, HuggingFace, LlamaIndex, and Airbyte, as well as expert support & tooling perks, and be the first to try new features.
Qdrant
October 02, 2024
Implementing vector search for enterprise AI via Qdrant's Hybrid Cloud integration into Shakudo’s virtual private cloud.
Qdrant
September 23, 2024