Skip to main content

llama-index vector_stores qdrant integration

Project description

LlamaIndex Vector_Stores Integration: Qdrant

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_qdrant-0.9.2.tar.gz (14.7 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_qdrant-0.9.2.tar.gz.

File metadata

  • Download URL: llama_index_vector_stores_qdrant-0.9.2.tar.gz
  • Upload date:
  • Size: 14.7 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: uv/0.10.8 {"installer":{"name":"uv","version":"0.10.8","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_qdrant-0.9.2.tar.gz
Algorithm Hash digest
SHA256 c7f8138a0f4f79bed79a32b7c875d2766849b02a779617e55b8d1feb1a9e605a
MD5 22078b10eb794044153e20b78bca1d26
BLAKE2b-256 c25b4957f112b2405e960f425f92e337f1ad22315c0cda50c5117575b0e08d10

See more details on using hashes here.

File details

Details for the file llama_index_vector_stores_qdrant-0.9.2-py3-none-any.whl.

File metadata

  • Download URL: llama_index_vector_stores_qdrant-0.9.2-py3-none-any.whl
  • Upload date:
  • Size: 15.0 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: uv/0.10.8 {"installer":{"name":"uv","version":"0.10.8","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_qdrant-0.9.2-py3-none-any.whl
Algorithm Hash digest
SHA256 631139e3dc84a831e949758f99b0858a53c835c5a5878a68d676b3eb579c824f
MD5 c3474c1a4dcd462e76b31e3458b5891c
BLAKE2b-256 42d75e137cee4acf04ae49e6be865cf732174353439377ba65999e43b91ad978

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