Skip to main content

llama-index vector_stores bagel integration

Project description

LlamaIndex Vector_Stores Integration: Bagel

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_bagel-0.3.0.tar.gz (3.2 kB view details)

Uploaded Source

Built Distribution

File details

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

File metadata

File hashes

Hashes for llama_index_vector_stores_bagel-0.3.0.tar.gz
Algorithm Hash digest
SHA256 e6a351f2b93d6089b104a93bd8d7f87c269f559ee8a218e890c323c42bfd467b
MD5 1e4310a57873760f955c3471293078c8
BLAKE2b-256 2f64bbe36f765b105971f9a72a5d6278aa428826b8856c7c9520061e120fe1a1

See more details on using hashes here.

File details

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

File metadata

File hashes

Hashes for llama_index_vector_stores_bagel-0.3.0-py3-none-any.whl
Algorithm Hash digest
SHA256 b8ab85237a992d737029bb312ba747a8b5164e10734d0df10319b6fb16c5539d
MD5 89748704120cfb779cd7f06b7dabad82
BLAKE2b-256 07d35f4ad918a12e384d87fbc43269acfd7a7ead4bb0f3275e0dea23b1e69c49

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