zeta-mlx-rag
RAG (Retrieval-Augmented Generation) pipeline for Zeta MLX.
Installation
pip install zeta-mlx-rag
Features
- Document Processing: Text chunking and preprocessing
- Embeddings: Integration with zeta-mlx-embedding
- Retrieval: Vector similarity search
- Generation: Context-aware LLM responses
Usage
from zeta_mlx.rag import RAGPipeline
pipeline = RAGPipeline(
embedding_model="bge-m3",
llm_model="qwen3-8b"
)
# Add documents
pipeline.add_documents(["doc1.txt", "doc2.txt"])
# Query
response = pipeline.query("What is MLX?")
Links
1 maintainer
Metadata
1 maintainer
Release files for zeta-mlx-rag 0.3.2
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| zeta_mlx_rag-0.3.2.tar.gz | 6.6 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| zeta_mlx_rag-0.3.2-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 16.2 kB
Release files / zeta_mlx_rag-0.3.2.tar.gz
| Download URL | zeta_mlx_rag-0.3.2.tar.gz |
|---|---|
| Size | 6.6 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
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Release files / zeta_mlx_rag-0.3.2-py3-none-any.whl
| Download URL | zeta_mlx_rag-0.3.2-py3-none-any.whl |
|---|---|
| Size | 9.6 kB |
| Tags | Python 3 |
|
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