Reserved package name for future project

Navigation

Verified details

These details have been verified by PyPI
Maintainers
Avatar for lintosunny from gravatar.com lintosunny

Unverified details

These details have not been verified by PyPI
Meta
  • License: Apache-2.0
  • Author: Your Name
  • Requires: Python >=3.10
Report project as malware

Project description

HyperRAG

Enterprise-grade multi-modal RAG framework for Python — simple to prototype, powerful in production.

This is just a placeholder release.
The project is currently under development and will evolve into a developer-friendly, enterprise-grade Python framework.

Stay tuned!

Project details

Verified details

These details have been verified by PyPI
Maintainers
Avatar for lintosunny from gravatar.com lintosunny

Unverified details

These details have not been verified by PyPI
Meta
  • License: Apache-2.0
  • Author: Your Name
  • Requires: Python >=3.10

Release history Release notifications | RSS feed

This version

0.0.1

Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

hyperrag-0.0.1.tar.gz (5.3 kB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

hyperrag-0.0.1-py3-none-any.whl (5.6 kB view details)

Uploaded Python 3

File details

Details for the file hyperrag-0.0.1.tar.gz.

File metadata

  • Download URL: hyperrag-0.0.1.tar.gz
  • Upload date:
  • Size: 5.3 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.2.0 CPython/3.10.0

File hashes

Hashes for hyperrag-0.0.1.tar.gz
Algorithm Hash digest
SHA256 10787b5bddd0dbbff8e2ef63a5d4a06ba63138e5ec526f3f27d6921af40bd3de
MD5 2da38bc965fa95dcef8165d285baab16
BLAKE2b-256 19b932cf70d9ee90736b7ed7b8230c4fc591d061f87cacc8af8a1c90886c2f4e

See more details on using hashes here.

File details

Details for the file hyperrag-0.0.1-py3-none-any.whl.

File metadata

  • Download URL: hyperrag-0.0.1-py3-none-any.whl
  • Upload date:
  • Size: 5.6 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.2.0 CPython/3.10.0

File hashes

Hashes for hyperrag-0.0.1-py3-none-any.whl
Algorithm Hash digest
SHA256 871e3c0175f0f6ab8246b895750f076968271cbd36e484574da7796e9020b7e6
MD5 f088d653f8ae95c0648faa594afe1dcc
BLAKE2b-256 c925b17bafbf644a3005de18c8a7de2cd3bfd07c50c3a730d62d72b35fbabc8e

See more details on using hashes here.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page