Skip to content

SuhelMehta9/semantic_search_with_haystack

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 

History

3 Commits
 
 
 
 
 
 
 
 
 
 

Repository files navigation

semantic_search_with_haystack

This repository contains code for performing semantic search using sentence-transformers/multi-qa-MiniLM-L6-cos-v1 and EmbeddingRetriever.

To use this code, you will need to install the following Python packages:

pip install qdrant-haystack
pip install farm-haystack[inference]

To run the code, simply open the ipynb file in jupyter notebook or jupyter lab and run each cell.

This will search the Qdrant for documents that are similar to the query and return the results.

To learn more about how to use this code or about semantic search, please read this blog Semantic Search Using Haystack.

About

No description, website, or topics provided.

Resources

License

Stars

Watchers

Forks

Releases

No releases published

Packages

 
 
 

Contributors