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-0.3.3.tar.gz (10.5 kB view details)

Uploaded Source

Built Distribution

File details

Details for the file llama_index_vector_stores_qdrant-0.3.3.tar.gz.

File metadata

File hashes

Hashes for llama_index_vector_stores_qdrant-0.3.3.tar.gz
Algorithm Hash digest
SHA256 62979c401dce1e2ee277f32fbbbddd9fe81c5e35f3559479f92af42b09086c3b
MD5 6efdc17d4f2e190606a9cf341432ba2d
BLAKE2b-256 49ff81be781a01772aa77b9bdad4e4933c31a79db191bf1b5e4fb66c05cbaed8

See more details on using hashes here.

File details

Details for the file llama_index_vector_stores_qdrant-0.3.3-py3-none-any.whl.

File metadata

File hashes

Hashes for llama_index_vector_stores_qdrant-0.3.3-py3-none-any.whl
Algorithm Hash digest
SHA256 2255069ae25be2ac87f05396790dd49da742adcefd5eefe0cb347efd50999ceb
MD5 f6fa681475470a90ec8abc68a7cc008d
BLAKE2b-256 df1f04cb736402fa0d38ba260a118acb13b6ef20235478adc994553fa553006f

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