README.md

metadata

title: Moorcheh.ai
emoji: 🐜
colorFrom: blue
colorTo: purple
sdk: static
sdk_version: 1.0.0
app_file: app.py
pinned: false

Moorcheh - Information-Theoretical Memory for AI Agents/Apps/Assistants

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📊 Download Statistics

🐍 Python SDK 💬 Chat Boilerplate ⚡ N8N Nodes

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📚 Repositories

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🔌 Integrations

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💡 Use Cases

Analyzing Codebases Learn how to analyze codebases by integrating Moorcheh with Firecrawl and LlamaIndex.	Analyzing Financial Documents Learn how to analyze financial documents by integrating Moorcheh with LangChain.
Analyzing Geographical Documents Learn how to analyze geographical documents by integrating Moorcheh with LlamaIndex.	Analyzing Healthcare Documents Learn how to analyze healthcare documents by integrating Moorcheh with LlamaIndex.
Analyzing Legal Documents Learn how to analyze legal documents by integrating Moorcheh with LlamaIndex.	Analyzing Moorcheh Website Learn how to analyze the Moorcheh website by integrating Moorcheh with Firecrawl.
Analyzing Scientific Journals Learn how to analyze scientific journals by integrating Moorcheh with LangChain.

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🚀 Getting Started

📦 Install the SDK:

pip install moorcheh-sdk

🚀 Quick Start Example:

import os
from moorcheh_sdk import MoorchehClient

# Initialize client
client = MoorchehClient(api_key=os.getenv("MOORCHEH_API_KEY"))

# Create namespace and upload documents
client.create_namespace("my-rag", "text")
client.upload_documents("my-rag", [
    {"id": "doc1", "text": "Your content...", "metadata": {}}
])

# Get AI-powered answers
answer = client.get_generative_answer(
    namespace="my-rag",
    query="Your question here"
)
print(answer["answer"])

🛠️ Complete toolkit for Python developers:

• Namespace management (text/vector)
• Document and vector ingestion
• Advanced semantic search with filtering
• Built-in RAG system support
• Generative AI integration
• Comprehensive error handling

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Why Moorcheh.ai?

Moorcheh.ai delivers ultra-fast, highly accurate semantic search powered by cutting-edge information theory principles. Our enterprise platform enables developers to build production-ready RAG systems and AI chatbots with unprecedented search accuracy and performance.

🧮 Information-Theoretical Foundation

• ITS (Information-Theoretical Similarity) Scoring: Our proprietary algorithm goes beyond traditional cosine similarity, providing more nuanced and contextually aware search results
• Mathematical Precision: Built on solid information theory foundations for consistent, explainable results
• Superior Accuracy: Outperforms traditional vector databases in semantic understanding and relevance

🏢 Enterprise-Ready Features

• Scalable Architecture: Handle enterprise workloads with confidence
• Multi-Modal Support: Text and vector embeddings in unified namespaces
• Production Monitoring: Built-in analytics and performance metrics

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Transform your search. Elevate your AI. Choose Moorcheh.ai.