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
- Clone the repository:
Metadata
Release files for kitchenai_rag_simple_bento 0.1.10
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| kitchenai_rag_simple_bento-0.1.10.tar.gz | 534.2 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| kitchenai_rag_simple_bento-0.1.10-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 547.5 kB
Release files / kitchenai_rag_simple_bento-0.1.10.tar.gz
| Download URL | kitchenai_rag_simple_bento-0.1.10.tar.gz |
|---|---|
| Size | 534.2 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
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No |
| Uploaded via |
python-httpx/0.27.2
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Release files / kitchenai_rag_simple_bento-0.1.10-py3-none-any.whl
| Download URL | kitchenai_rag_simple_bento-0.1.10-py3-none-any.whl |
|---|---|
| Size | 13.3 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
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BLAKE2b-256 checksum How to use checksums |
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| Upload date | |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
python-httpx/0.27.2
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