Lowering the Entry Threshold for Neural Vector Search - Applying Similarity Learning

Explore the cutting-edge world of Neural Vector Search in this 33-minute conference talk from Haystack EU 2022. Discover how Similarity Learning can significantly reduce the barriers to entry for neural search implementation. Learn about designing end-to-end pipelines using Open Source tools, and gain insights into common pitfalls and their solutions. Delve into the advantages of Similarity Learning, including reduced data requirements and faster training times, even in rapidly changing environments. Benefit from the expertise of Kacper Łukawski, a Developer Advocate at Qdrant, as he shares his experience in data engineering, machine learning, and software design, with a focus on similarity learning and vector search applications.

Haystack EU 2022 - Kacper Łukawski: Lowering the entry threshold for Neural Vector Search