DmitryKey/bert-solr-search
Search with BERT vectors in Solr, Elasticsearch, OpenSearch and GSI APU
This project helps integrate advanced semantic search capabilities into existing search platforms like Solr or Elasticsearch. It takes text data, processes it into rich numerical representations (vectors), and makes it searchable in a way that understands meaning, not just keywords. This is useful for search administrators or developers building search applications who want to provide more relevant results.
166 stars. No commits in the last 6 months.
Use this if you need to upgrade your Solr, Elasticsearch, or OpenSearch instance to deliver search results based on the meaning of queries, rather than simple keyword matching.
Not ideal if you are looking for an off-the-shelf, fully managed semantic search solution without needing to configure or manage underlying search engines.
Stars
166
Forks
31
Language
Jupyter Notebook
License
Apache-2.0
Category
Last pushed
Aug 28, 2024
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/embeddings/DmitryKey/bert-solr-search"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
Related tools
machinelearningZH/semantic-search-eval
A framework for evaluating semantic search across custom datasets, metrics, and embedding backends.
tkhang1999/semantic-food-search
A semantic food search web application built with Django, Solr, SBERT, and Docker
alihakimtaskiran/SemanticSearch
Meaningful Search
yberreby/ocaml-semsearch-jsoo
OCaml + js_of_ocaml + SBERT + TensorFlow.js
sabirdvd/sts-papers
Paper and survey of the papers surrounding semantic simiarity task