Neural Search Frameworks: A Head-to-Head Comparison
While working on this blog post I had a privilege of interacting with all neural search frameworks key developers / leadership: Malte Piestch (Haystack), Amin Ahmad (Vectara), Florian Hönicke (Jina AI), David Mezzetti (txtai), Daniel Vassilev (Relevance AI), George Sivulka and Swetha Revanur (Hebbia), Aarne Talman and myself (Muves). The blog title has been generated by ChatGPT. Hacker News thread: https://news.ycombinator.com/item?id=34107410
New: podcast with Connor Shorten, Research at Weaviate:
As the neural search journey develops further, we discover new frontiers of semantic, multimodal user experience. Neural search frameworks give us tools and building blocks to support creation of these experiences, and at the same time show us the way to put things into production.
This blog post will be structured similarly to the blog comparing vector databases and give you pointers for choosing a neural search framework for your project.
As the recent trend we can see various integration points between neural search…
