GraphRAG: How Lettria Unlocked 20% Accuracy Gains with Qdrant and Neo4j
Daniel Azoulai
June 17, 2025
Static embeddings are a thing back! Is the encoding speedup worth a try? We checked that!
Kacper Łukawski
January 17, 2025
Learn how Voiceflow builds scalable, customizable, no-code AI agent solutions for enterprises.
Qdrant
December 10, 2024
Build an AI app that uses facial recognition embeddings & vector search to match users with their celebrity look-alikes.
David Myriel
December 03, 2024
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