kagisearch/vectordb
View on GitHub ↗ ★ 803 Python
A minimal Python package for storing and retrieving text using chunking, embeddings, and vector search.
6 mentions on Hacker News by 4 people: 0 stories, 6 comments · first 2023-06-01 · latest 2023-11-26
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…is this. We periodically benchmark the performance of different embeddings to ensure best defaults: https://github.com/kagisearch/vectordb#embeddings-performanc...
comment by freediver · 2023-11-26 · in VectorDB: Vector Database Built by Kagi Search -
https://github.com/kagisearch/vectordb/blob/453bb658bb710838... Looks like it uses one of these, depending on your settings: Fast model: google/universal-sentence-encoder/4 Multilingual model: universal-sentence-encoder-multilingual-large/3…
comment by simonw · 2023-11-26 · in VectorDB: Vector Database Built by Kagi Search -
The library is open source. Here's where you can see how they're creating the embeddings. https://github.com/kagisearch/vectordb/blob/main/vectordb/em...
comment by dmezzetti · 2023-11-26 · in VectorDB: Vector Database Built by Kagi Search -
…in memory. Looking at the source, the Storage class uses a plain file and python's pickle module: https://github.com/kagisearch/vectordb/blob/main/vectordb/st...
comment by tyingq · 2023-11-26 · in VectorDB: Vector Database Built by Kagi Search -
…try vectordb [1] Just spent a day updating it with latest benchmarks for text embedding models. [1] https://github.com/kagisearch/vectordb
comment by freediver · 2023-10-25 · in Embeddings: What they are and why they matter -
…embeddings database like you do not need one to use a regular databse (although you could). Check https://github.com/kagisearch/vectordb for a simple implementation of a vector search database that uses local, on-premise open source tools…
comment by freediver · 2023-06-01 · in OpenAI's plans according to sama