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-0.2.2.tar.gz.

File metadata

File hashes

Hashes for llama_index_vector_stores_deeplake-0.2.2.tar.gz
Algorithm Hash digest
SHA256 8cbaff085d1a585ca1a3cb54afbf75850fee0841cd4a54465ea13ec81b89dcc2
MD5 163b5f6ba24b43abc7a699e918134935
BLAKE2b-256 19537d1d53d8ff6629dbb8974fa3e57b680e4985375862b5f170fe96792649f8

See more details on using hashes here.

File details

Details for the file llama_index_vector_stores_deeplake-0.2.2-py3-none-any.whl.

File metadata

File hashes

Hashes for llama_index_vector_stores_deeplake-0.2.2-py3-none-any.whl
Algorithm Hash digest
SHA256 558efc3d9b5da0ff47b4104f7715d60c5cabf3e74f62638644450d0d2980a48c
MD5 e4ef99f12d8233356c881bb4806f823c
BLAKE2b-256 5171c53797a3914a410776ff1220ebe1752d26bfae123d8298ab1cd51da9b23e

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