Skip to main content

llama-index vector_stores vearch integration

Project description

LlamaIndex Vector_Stores Integration: Vearch

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

Built Distribution

File details

Details for the file llama_index_vector_stores_vearch-0.3.0.tar.gz.

File metadata

File hashes

Hashes for llama_index_vector_stores_vearch-0.3.0.tar.gz
Algorithm Hash digest
SHA256 783600c2c82c3ea70d7d57e4f3722c2997d67dc71a0416caaa8273fa0602a1af
MD5 efc9e40581a8c2d5b6556d4264218721
BLAKE2b-256 f25ef2187e0c5a01d5921a143ac3a8936aef1df8da63897d363beeedc11b6cb6

See more details on using hashes here.

File details

Details for the file llama_index_vector_stores_vearch-0.3.0-py3-none-any.whl.

File metadata

File hashes

Hashes for llama_index_vector_stores_vearch-0.3.0-py3-none-any.whl
Algorithm Hash digest
SHA256 9fa312af299d31bd5b8705f2ac1d0d5feda4e604b09dff1865e155d5063e22b6
MD5 3021a190b8f9249d28dc330b6b2a14be
BLAKE2b-256 b29a7eacca0bb2e4c439a8b5cd26dfc441fb77b7dbfc3ff5eb658dcb941ce56b

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