EulerSearch / embedding_studio

Embedding Studio is a framework which allows you transform your Vector Database into a feature-rich Search Engine.

Date Created 2023-10-31 (about a year ago)

Commits 32 (last one about a year ago)

Stargazers 380 (0 this week)

Watchers 6 (0 this week)

Forks 5

License apache-2.0

Ranking

RepositoryStats indexes 633,559 repositories, of these EulerSearch/embedding_studio is ranked #116,939 (82nd percentile) for total stargazers, and #289,970 for total watchers. Github reports the primary language for this repository as Python, for repositories using this language it is ranked #20,199/129,482.

EulerSearch/embedding_studio is also tagged with popular topics, for these it's ranked: search-engine (#152/401), embeddings (#111/382), vector-database (#74/228), fine-tuning (#69/223), llm-inference (#57/203)

Other Information

EulerSearch/embedding_studio has Github issues enabled, there are 5 open issues and 1 closed issue.

There have been 1 release, the latest one was published on 2023-12-24 (about a year ago) with the name v0.0.1.

Homepage URL: https://embeddingstud.io/

All Topics

embeddings fine-tuning query-parser llm-inference search-engine vector-database search-algorithm unstructured-data search-query-parser semantic-similarity unstructured-search embeddings-similarity

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32 commits on the default branch (main) since jan '22

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updated: 2025-03-19 @ 04:37am, id: 712179847 / R_kgDOKnMAhw