Skip to main content

llama-index vector_stores awsdocdb integration

Project description

LlamaIndex Vector_Stores Integration: AWS Document DB

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_awsdocdb-0.2.0.tar.gz.

File metadata

File hashes

Hashes for llama_index_vector_stores_awsdocdb-0.2.0.tar.gz
Algorithm Hash digest
SHA256 d8d7961059d4b783b617d8e9f2e10f0a117d6b74347cf82837a6981d77b52391
MD5 7d0ab7ba7ce27e2f9bfdbfcd1e9fdeb7
BLAKE2b-256 f21e46d0f2a80c5be1b3ee3f6030c0149c4b6fd25233904dbf453c0b5a66b27f

See more details on using hashes here.

File details

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

File metadata

File hashes

Hashes for llama_index_vector_stores_awsdocdb-0.2.0-py3-none-any.whl
Algorithm Hash digest
SHA256 3938def5e8e08293470ee14605275edf0f31094503dc5b55fde7b2397364b05f
MD5 8c12c1707b62c635732c1a6f35b15846
BLAKE2b-256 7857f4f42d503464a6212876249cce3057bd27bd7cb610af1baf80a072e94a96

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