[P] Library for end-to-end neural search pipelines

• cherche

  12 325 6.2 Python

  Neural Search

  Github link Documentation Hackernews link

• SaaSHub

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  SaaSHub - Software Alternatives and Reviews. SaaSHub helps you find the best software and product alternatives

  

• faiss

  77 31,824 9.6 C++

  A library for efficient similarity search and clustering of dense vectors.

  

  Cherche is compatible with large corpora like wikipedia for example and provides decent response times notebook. I will benchmark Jina and Haystack under the same conditions but there shouldn't be much difference as the responsibility falls on Elasticsearch or on Faiss via retrieve.Encoder. The strength of Cherche is the fancy pipelines composed of union and intersection operations between TfIdf BM25, Flash, multiple rankers... and this is less adapted to Wikipedia. It is more adapted to industrial or personal corpora (<= 100000 documents).

• flashtext

  8 5,598 0.0 Python

  Extract Keywords from sentence or Replace keywords in sentences.

  I started developing this tool after using haystack. Pipelines are easier to build with cherche because of the operators. Also, cherche offers FlashText, Lunr.py retrievers that are not available in Haystack and that I needed for the project I wanted to solve. Haystack is clearly more complete but I think also more complex to use.

• lunr.py

  2 192 4.7 Python

  A Python implementation of Lunr.js 🌖

  I started developing this tool after using haystack. Pipelines are easier to build with cherche because of the operators. Also, cherche offers FlashText, Lunr.py retrievers that are not available in Haystack and that I needed for the project I wanted to solve. Haystack is clearly more complete but I think also more complex to use.

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