Semantic Grep – A Word2Vec-powered search tool
Much improved new version. Search for words similar to the query. For example, "death" will find "death", "dying", "dead", "killing"... Incredibly useful for exploring large text datasets where exact matches are too restrictive.
Semantic Grep – A Word2Vec-powered search tool launched on July 27, 2024 with 356 votes, #131 of 5,184 launches that month and more than 99% of that year's launches. The site was still online in September 2026, 2 years on.
In plain words
Semantic Grep is a search tool that uses Word2Vec to find words similar to a query rather than exact matches. For example, searching "death" returns related terms like "dying," "dead," and "killing." It is designed for researchers and analysts working with large text datasets who need more flexible search capabilities than traditional exact-match approaches provide.
written from the facts on this page · September 2026
From the sources
grep for words with similar meaning to the query. Contribute to arunsupe/semantic-grep development by creating an account on GitHub.
Does a similar job
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As a grad student (and an ADHDer), I had trouble doing literature review systematically. To combat this, I made a website that finds similar papers using the meaning of the thing I am looking for. I used MixedBread's [^1] embedding model to generate vectors from the abstracts. I store and search similar vectors using Milvus [^2] and finally use Gradio [^3] to serve the frontend. I update the vector database weekly by pulling the metadata dataset from Kaggle [^4]. To speed up the search process on my free oracle instance, I binarise the embeddings and use Hamming distance as a metric. I would…
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