Skip to main content

llama-index readers iceberg integration

Project description

LlamaIndex Readers Integration: Iceberg

pip install llama-index-readers-iceberg

This loader fetches data from Apache Iceberg tables.

Usage

To use this loader, you need to pass in an Intercom account access token.

from llama_index.readers.iceberg import IcebergReader

docs = IcebergReader().load_data(
    profile_name="my_profile",
    region="us-west-2",
    namespace="my_dataset",
    table="my_table",
    metadata_columns=["_id", "_age", "_name"],
)

This loader is designed to be used as a way to load data into LlamaIndex.

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_readers_iceberg-0.3.0.tar.gz (2.5 kB view details)

Uploaded Source

Built Distribution

File details

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

File metadata

File hashes

Hashes for llama_index_readers_iceberg-0.3.0.tar.gz
Algorithm Hash digest
SHA256 1783bb695c60fb1904818460e7d3c3729a12a388cf88e1488d21541947d7a4dc
MD5 8a8434b5a3570fd7c9650a78a98eb78f
BLAKE2b-256 2ad45be0dfe3aaf5c518c9447ff66e4e5a7716457c0da78168eb4393759e6a53

See more details on using hashes here.

File details

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

File metadata

File hashes

Hashes for llama_index_readers_iceberg-0.3.0-py3-none-any.whl
Algorithm Hash digest
SHA256 e34fa0d46c66fb5853fb3a74729a3a68e4a76998f86842181bd2342bdaca243c
MD5 64a6d156a5602758fcb5268dbbbc8122
BLAKE2b-256 bf85de4c1d2408a39cbfe229e95006858fdd9e24ac48d11da24fec001b3bdaed

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