Skip to main content

Unstract interface for LLMs, Embeddings and VectorDBs

Project description

Unstract

No-code LLM Platform to launch APIs and ETL Pipelines to structure unstructured documents

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

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

unstract_adapters-0.17.0.tar.gz (79.9 kB view details)

Uploaded Source

Built Distribution

unstract_adapters-0.17.0-py3-none-any.whl (140.0 kB view details)

Uploaded Python 3

File details

Details for the file unstract_adapters-0.17.0.tar.gz.

File metadata

  • Download URL: unstract_adapters-0.17.0.tar.gz
  • Upload date:
  • Size: 79.9 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? Yes
  • Uploaded via: pdm/2.12.3 CPython/3.8.10

File hashes

Hashes for unstract_adapters-0.17.0.tar.gz
Algorithm Hash digest
SHA256 ad32d7338c9bf0ab4fab129736c44bd6014b6192c8ec796985a208900f47978f
MD5 c8a1d040f403e742e0ccc3107ffda13f
BLAKE2b-256 225625fca713843ceca07addbca61914a93193b185e645f22b5426f792ee19c5

See more details on using hashes here.

Provenance

File details

Details for the file unstract_adapters-0.17.0-py3-none-any.whl.

File metadata

File hashes

Hashes for unstract_adapters-0.17.0-py3-none-any.whl
Algorithm Hash digest
SHA256 9407c17d270ff8126abf83502d371941fdf325362e4e9a5221980efbc028d064
MD5 9e42a6887749f54e6caa581cf9755f72
BLAKE2b-256 5e5d8af6b2095b746a457cf9db7b489fb460f5143b199d9434fc2cee87bc1573

See more details on using hashes here.

Provenance

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page