Skip to main content

llama-index vector_stores opensearch integration

Project description

LlamaIndex Vector_Stores Integration: Opensearch

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

llama_index_vector_stores_opensearch-1.2.0.tar.gz (11.3 kB view details)

Uploaded Source

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_opensearch-1.2.0.tar.gz.

File metadata

  • Download URL: llama_index_vector_stores_opensearch-1.2.0.tar.gz
  • Upload date:
  • Size: 11.3 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: uv/0.10.9 {"installer":{"name":"uv","version":"0.10.9","subcommand":["publish"]},"python":null,"implementation":{"name":null,"version":null},"distro":{"name":"Ubuntu","version":"24.04","id":"noble","libc":null},"system":{"name":null,"release":null},"cpu":null,"openssl_version":null,"setuptools_version":null,"rustc_version":null,"ci":true}

File hashes

Hashes for llama_index_vector_stores_opensearch-1.2.0.tar.gz
Algorithm Hash digest
SHA256 398d1d63dc34d9d68f94b3d809eb86ff7a70955b8e37df1013858600714c8dad
MD5 d7c7589c5b5f4b1cb10f61e4fa86597c
BLAKE2b-256 6d1ca828a80a14aef9fec7d456d04d471a452fcdfde56832046d84991b8839c4

See more details on using hashes here.

File details

Details for the file llama_index_vector_stores_opensearch-1.2.0-py3-none-any.whl.

File metadata

  • Download URL: llama_index_vector_stores_opensearch-1.2.0-py3-none-any.whl
  • Upload date:
  • Size: 11.1 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: uv/0.10.9 {"installer":{"name":"uv","version":"0.10.9","subcommand":["publish"]},"python":null,"implementation":{"name":null,"version":null},"distro":{"name":"Ubuntu","version":"24.04","id":"noble","libc":null},"system":{"name":null,"release":null},"cpu":null,"openssl_version":null,"setuptools_version":null,"rustc_version":null,"ci":true}

File hashes

Hashes for llama_index_vector_stores_opensearch-1.2.0-py3-none-any.whl
Algorithm Hash digest
SHA256 53b93089c07e33f96fcf31f19f6af33d9d21f4e745c4eb625e1f7c449be8dc4e
MD5 e4aa9f45042b6212a8037d87432bbc28
BLAKE2b-256 8950d20cde82e89c3ac9d80e82bee5b8879e07df19a8db248f88d33adc23d0b0

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