Skip to main content

No project description provided

Project description

kitchenai-bento-rag-simple

A Django plugin that provides RAG (Retrieval Augmented Generation) capabilities using LlamaIndex and ChromaDB.

Features

  • File storage and vectorization using ChromaDB as vector store
  • Query capabilities with streaming support
  • Integration with LlamaIndex for document processing and querying
  • MinIO support for object storage
  • Built as a Django plugin for easy integration

Installation

  1. Clone the repository:

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

kitchenai_rag_simple_bento-0.1.6.tar.gz (534.0 kB view details)

Uploaded Source

Built Distribution

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

kitchenai_rag_simple_bento-0.1.6-py3-none-any.whl (13.0 kB view details)

Uploaded Python 3

File details

Details for the file kitchenai_rag_simple_bento-0.1.6.tar.gz.

File metadata

File hashes

Hashes for kitchenai_rag_simple_bento-0.1.6.tar.gz
Algorithm Hash digest
SHA256 ed150e77d8ae0442d6679b089320a34ce9f46e27cfbf3eb97606169506e33378
MD5 41940eccb97de8c0676c8e29eeb46e46
BLAKE2b-256 a5e9b559bc8a0b6531d940685aa45a8556fb903a316b6e120f6799a24feffb74

See more details on using hashes here.

File details

Details for the file kitchenai_rag_simple_bento-0.1.6-py3-none-any.whl.

File metadata

File hashes

Hashes for kitchenai_rag_simple_bento-0.1.6-py3-none-any.whl
Algorithm Hash digest
SHA256 dc1f6608955a6cacb3a9a7d11182e644af3adf0442a0b47c52214d2bf78d6793
MD5 0aac2a3e64a2f632f8e330578934a9ef
BLAKE2b-256 76c582f2d881670816e83ab3740caf94896ec06f4f684ff3e02e0190761b642e

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