Unstract Adapters
This is Unstract's python package which helps to configure to a number of different LLMs, Embeddings and VectorDBs. For further details on the list of supported LLMs, Embeddings and Vector DBs,, please visit https://github.com/Zipstack/unstract
Installation
Local Development
To get started with local development,
- Create and source a virtual environment if you haven't already following these steps.
- If you're using Mac, install the below library needed for PyMSSQL
brew install pkg-config freetds
- Install the required dependencies with
pdm install
Metadata
Release files for unstract-adapters 0.22.0
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| unstract_adapters-0.22.0.tar.gz | 82.4 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| unstract_adapters-0.22.0-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 227.2 kB
Release files / unstract_adapters-0.22.0.tar.gz
| Download URL | unstract_adapters-0.22.0.tar.gz |
|---|---|
| Size | 82.4 kB |
| Tags | Source |
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SHA-256 checksum How to use checksums |
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Yes |
| Uploaded via |
pdm/2.12.3 CPython/3.8.10
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Release files / unstract_adapters-0.22.0-py3-none-any.whl
| Download URL | unstract_adapters-0.22.0-py3-none-any.whl |
|---|---|
| Size | 144.8 kB |
| Tags | Python 3 |
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SHA-256 checksum How to use checksums |
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Uploaded using Trusted Publishing? What is trusted publishing? |
Yes |
| Uploaded via |
pdm/2.12.3 CPython/3.8.10
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