Skip to main content

llama-index vector_stores elasticsearch integration

Project description

LlamaIndex Vector_Stores Integration: Elasticsearch

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

If you're not sure about the file name format, learn more about wheel file names.

File details

Details for the file llama_index_vector_stores_elasticsearch-0.1.1.tar.gz.

File metadata

File hashes

Hashes for llama_index_vector_stores_elasticsearch-0.1.1.tar.gz
Algorithm Hash digest
SHA256 b0c0b89cebfdff8f2acfdef82db5683de9fc519e958883b2d3218a144a53fbc7
MD5 5c7546ccd4030cafc9cf7d215c745b17
BLAKE2b-256 b5337d5a92807bd6deb439872fd1667e7a3b322777d739f0367620cfd4ec430f

See more details on using hashes here.

File details

Details for the file llama_index_vector_stores_elasticsearch-0.1.1-py3-none-any.whl.

File metadata

File hashes

Hashes for llama_index_vector_stores_elasticsearch-0.1.1-py3-none-any.whl
Algorithm Hash digest
SHA256 88fe4d19b6b7dceb16a85016ee80c3687711e2d010644ed128b4da9096b30662
MD5 d73e44841d494a005c81ea8da589e436
BLAKE2b-256 69f9bb1380ab4804dd95af9721361c0060ba3c1b2441abec40327f0197a90e2a

See more details on using hashes here.

Supported by

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