Kacper łukawski
About Kacper łukawski
Kacper Łukawski is an author known for his extensive work on Qdrant, covering topics from vector search technologies to enhancing AI functionalities with semantic search.
Kacper Łukawski Author Profile
Kacper Łukawski is a prolific author known for his contributions to the field of data science and machine learning, particularly with Qdrant. Kacper has authored numerous articles that delve into various technical aspects and advancements of Qdrant, a vector search engine. His writings serve as informative resources for professionals interested in optimizing their applications with Qdrant’s innovative features.
Key Articles by Kacper Łukawski
Kacper Łukawski has written several notable articles, each focusing on different facets of Qdrant. His key articles include 'Qdrant 1.7.0 has just landed!' which discusses new features such as sparse vectors, Discovery API, user-defined sharding, and snapshot-based shard transfer. Another significant contribution is 'Deliver Better Recommendations with Qdrant’s new API' that details the enhancements in Qdrant 1.6, offering new recommendation strategies and more flexibility in the Recommendation API.
Innovations in Qdrant by Kacper Łukawski
Kacper Łukawski has written extensively about innovations in Qdrant. His article on 'Product Quantization' explains how vector search can be performed with low memory requirements, introducing Product Quantization as a key method. In another piece, 'Scalar Quantization,' he discusses mechanisms for reducing memory footprint and enhancing performance, crucial for efficient data management.
Enhancing Applications with Qdrant
Kacper Łukawski's articles often explore ways to enhance applications using Qdrant’s features. His 'Food Discovery Demo' showcases a method for finding the perfect meal using multimodal semantic search. Additionally, in 'Extending ChatGPT with a Qdrant-based knowledge base,' he provides insights on improving the factual accuracy of ChatGPT through semantic search.
Question Answering Systems by Kacper Łukawski
Kacper Łukawski authored 'Question Answering with LangChain and Qdrant without boilerplate,' which combines LangChain, pretrained LLM from OpenAI, SentenceTransformers, and Qdrant to create an effective Q&A system. This work demonstrates how to leverage various technologies to build robust question answering systems efficiently.