Skip to main content

llama-index vector_stores deeplake integration

Project description

LlamaIndex Vector_Stores Integration: Deeplake

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

File details

Details for the file llama_index_vector_stores_deeplake-0.2.0.tar.gz.

File metadata

File hashes

Hashes for llama_index_vector_stores_deeplake-0.2.0.tar.gz
Algorithm Hash digest
SHA256 cd019aff79cb3dd08cdbac43e66baa231104cd7efe52feb99de706b014334d40
MD5 e42c6c11370d2e0377f164ca15f86c7e
BLAKE2b-256 8726fede9e0c655f7e5c9a1f4d99afc1f518edfba6a0efd90718a3fae1cd7b28

See more details on using hashes here.

File details

Details for the file llama_index_vector_stores_deeplake-0.2.0-py3-none-any.whl.

File metadata

File hashes

Hashes for llama_index_vector_stores_deeplake-0.2.0-py3-none-any.whl
Algorithm Hash digest
SHA256 a0702a07b70086b1c3b351aa692cafb51d93300474a102281a2185a7e1d21c65
MD5 9e133210bfe469578f2ea0527d0e0076
BLAKE2b-256 b89169d4e8bdc71fdb43a0954d7f33ff2cb2128e41ea90321985e1de2284ff4b

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