viarag 0.1.1

Minimal Python SDK for interacting with the ViaRAG API

ViaRAG SDK

Minimal Python SDK for interacting with the ViaRAG API. Designed for developers building RAG pipelines, chatbots, and AI-native workflows.

Product is currently in beta-testing and we cannot goerantee everythihg wibl beb right. Thanks for your patients.

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📦 Installation

pip install viarag

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🚀 Quickstart

from viarag import ViaRAGClient

client = ViaRAGClient(api_key="your_api_key")
print(client.health_check())

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🔧 Class: ViaRAGClient

ViaRAGClient(api_key: str, timeout: int = 30)

Creates a new client.

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📡 Endpoints

✅ 1. health_check()

Returns the API's current health status.

client.health_check()

Returns:

{"status": "ok"}

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🤖 2. simple_query(prompt: str, top_k: int = 5)

Runs a retrieval-augmented generation (RAG) query.

client.simple_query("What is ViaRAG?")

Returns:

{
  "response": "ViaRAG is an API for retrieval-augmented generation...",
  "contexts": [...],
  "prompt": "..."
}

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💬 3. direct_query(prompt: str)

Runs a prompt directly through the LLM, no retrieval.

client.direct_query("Tell me a joke.")

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🔍 4. match_context(prompt: str, top_k: int = 5)

Returns top-k context chunks that match your prompt (no generation).

client.match_context("What is ViaVeri?")

Returns:

[
  {"content": "...", "score": 0.92},
  {"content": "...", "score": 0.87}
]

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📄 5. upload_document(file_path: str, metadata: dict = None, chunking_config: dict = None)

Uploads a document and indexes it.

client.upload_document(
    file_path="my_notes.pdf",
    metadata={"source": "user-upload"},
    chunking_config={"chunk_size": 1000, "chunk_overlap": 200}
)

Supports: .pdf, .docx, .txt

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✂️ 6. chunk_text(text: str, chunk_size: int = 1000, chunk_overlap: int = 200, splitter: str = "recursive")

Chunks raw text without uploading a file.

chunks = client.chunk_text("A long string of text...")

Returns:

["Chunk 1", "Chunk 2", ...]

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📚 7. list_documents()

Lists all documents you’ve uploaded.

client.list_documents()

Returns:

[
  {"doc_id": "abc123", "filename": "my_notes.pdf"},
  ...
]

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❌ 8. delete_document_by_id(doc_id: str)

Deletes all chunks associated with a document.

client.delete_document_by_id("abc123")

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🔐 Authentication

All API calls (except health_check) require a Bearer token:

client = ViaRAGClient(api_key="sk-...")

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🧪 Development

Clone the repo and install locally:

git clone https://github.com/YOUR_USERNAME/viarag-sdk.git
cd viarag-sdk
pip install -e .

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📄 License

GNU General Purpose License. See LICENSE file.

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👋 About

Built by ViaVeri Technologies to empower developers with simple, powerful RAG tools.