Eric Search
https://ericfillion.github.io/ericsearch/
A local vector search engine built for speed and scalability.
- Fast: we use two-level IVF to effectively scale to millions of documents.
- EricRanker(): powered by a cross-encoder model that extracts relevant information from the top documents.
- Accelerated compute: compatible with both MPS and CUDA.
- Easy to use: only a few lines of code are needed to train new datasets
- Lightweight: simple to install and run with a single Python script.
- Integrated with Hugging Face's Hub.
- Transferable: zip a single folder to move an entire dataset.
Install
pip install ericsearch
Maintainers
- Eric Fillion Lead Maintainer
- Ted Brownlow Maintainer
Contributing
We are currently not accepting contributions.
1 maintainer
Metadata
1 maintainer
Release files for ericsearch 0.0.3
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| ericsearch-0.0.3.tar.gz | 24.0 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| ericsearch-0.0.3-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 53.4 kB
Release files / ericsearch-0.0.3.tar.gz
| Download URL | ericsearch-0.0.3.tar.gz |
|---|---|
| Size | 24.0 kB |
| Tags | Source |
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SHA-256 checksum How to use checksums |
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twine/6.2.0 CPython/3.13.7
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Release files / ericsearch-0.0.3-py3-none-any.whl
| Download URL | ericsearch-0.0.3-py3-none-any.whl |
|---|---|
| Size | 29.4 kB |
| Tags | Python 3 |
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SHA-256 checksum How to use checksums |
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twine/6.2.0 CPython/3.13.7
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