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About Nirant Kasliwal
Nirant Kasliwal is an author known for his contributions to Qdrant's blog, focusing on topics related to vector search and text embedding technologies.
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Nirant Kasliwal is recognized for his expertise in the field of data science, particularly in vector search and text embedding technologies. He has authored several insightful articles for Qdrant’s blog and articles section, including ‘Binary Quantization - Vector Search, 40x Faster’, ‘Sparse Vectors in Qdrant: Pure Vector-based Hybrid Search’, and ‘FastEmbed: Fast and Lightweight Embedding Generation for Text’. His work primarily explores advancements in search algorithms and efficiency improvements in data handling and processing.
About Qdrant
Qdrant is a company that provides a vector database and similarity search engine, supporting AI applications with advanced search technologies and a variety of data types.
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