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Production-ready RAG infrastructure for Arabic & multilingual applications

Project description

Maktaba

CI PyPI version Python 3.10+ License: MIT

The library for building libraries - By NuhaTech

From the Arabic word for library, Maktaba is a modern RAG infrastructure for building intelligent knowledge systems in any language.

Features

  • 🔌 Provider-agnostic: Works with OpenAI, Cohere, Azure, and more
  • 🚀 Production-ready: Built for scale with async-first design
  • 🧩 Modular: Use only what you need
  • 🌍 Multilingual: Optimized for Arabic and international languages
  • 📊 Type-safe: Full type hints and Pydantic validation
  • 🧪 Well-tested: Comprehensive test coverage

Installation

Using UV (Recommended)

# Install UV if you haven't already
curl -LsSf https://astral.sh/uv/install.sh | sh

# Add maktaba to your project
uv add maktaba

# With OpenAI + Qdrant
uv add "maktaba[openai,qdrant]"

# With all providers
uv add "maktaba[all]"

Using pip

# Basic installation
pip install maktaba

# With OpenAI + Qdrant
pip install "maktaba[openai,qdrant]"

# With all providers
pip install "maktaba[all]"

Quick Start

from maktaba.pipeline import QueryPipeline
from maktaba.embedding import OpenAIEmbedder
from maktaba.storage import QdrantStore
from maktaba.reranking import CohereReranker

# Create pipeline
pipeline = QueryPipeline(
    embedder=OpenAIEmbedder(api_key="..."),
    vector_store=QdrantStore(url="http://localhost:6333", collection_name="docs"),
    reranker=CohereReranker(api_key="...")
)

# Search with automatic reranking and citation formatting
result = await pipeline.search(
    query="What is Tawhid?",
    top_k=10,
    rerank=True
)

# Use in your LLM prompt
print(result["formatted_context"])  # [1]: content... [2]: content...
print(result["citations"])          # [{id: 1, source: "...", score: 0.95}, ...]

Development

Running Checks Before Push

Before pushing to the remote repository, run all quality checks:

Linux/Mac/Git Bash:

./scripts/check.sh

Windows CMD:

scripts\check.bat

This will run:

  • Ruff linting
  • MyPy type checking
  • Pytest tests

All checks must pass before pushing.

Documentation

  • Overview: docs/Overview.md
  • Quickstart: docs/Quickstart.md
  • Pipelines: docs/Pipelines.md
  • Providers: docs/Providers.md
  • Examples: docs/Examples.md
  • Troubleshooting: docs/Troubleshooting.md

Website (coming soon): maktaba.nuhatech.com

License

MIT License - see LICENSE

About NuhaTech

Built by NuhaTech - creators of Kutub and Muqabia.

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