Skip to main content

Haystack 2.x component to embed strings and Documents using Instructor embedding model.

Project description

instructor_embedders

PyPI - Version PyPI - Python Version


Table of Contents

Installation

pip install instructor-embedders-haystack

License

instructor-embedders is distributed under the terms of the Apache-2.0 license.

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

instructor_embedders_haystack-0.4.1.tar.gz (13.7 kB view details)

Uploaded Source

Built Distribution

File details

Details for the file instructor_embedders_haystack-0.4.1.tar.gz.

File metadata

File hashes

Hashes for instructor_embedders_haystack-0.4.1.tar.gz
Algorithm Hash digest
SHA256 571714d0a5c8dae187ce5346935563556a95e7c232e01c37e5212470b17f1eed
MD5 3939424a648d42f341812cfd0eb967cb
BLAKE2b-256 42776bd181dc8cdbb516cf0c8131f99775bb9ea0aba0df798224cf5745570bbf

See more details on using hashes here.

File details

Details for the file instructor_embedders_haystack-0.4.1-py3-none-any.whl.

File metadata

File hashes

Hashes for instructor_embedders_haystack-0.4.1-py3-none-any.whl
Algorithm Hash digest
SHA256 e059df4520506c4ede62675298df73c48c34b1253178058cb36e34d2e42180f8
MD5 bf21cb9d9891629e9d09fa0e8b7380ac
BLAKE2b-256 c5fcd50ec75955216ecb3f7a3c607b5576d884cbfbd238f1b6d0d0f2fa632d1d

See more details on using hashes here.

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