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--- |
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title: Moorcheh.ai |
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emoji: 🐜 |
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colorFrom: blue |
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colorTo: purple |
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sdk: static |
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sdk_version: "1.0.0" |
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app_file: app.py |
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pinned: false |
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--- |
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# Moorcheh - Information-Theoretical Memory for AI Agents/Apps/Assistants |
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<div align="center"> |
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<img src="https://www.moorcheh.ai/moorcheh-colorful-logo.png" width="360" alt="Moorcheh Logo"> |
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[](https://www.linkedin.com/company/moorcheh-ai) |
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[](https://x.com/moorcheh_ai) |
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[](https://www.youtube.com/@moorchehai) |
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[](https://www.moorcheh.ai/) |
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</div> |
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--- |
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## 📊 Download Statistics |
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<div align="center"> |
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**🐍 Python SDK** [](https://pepy.tech/project/moorcheh-sdk) **💬 Chat Boilerplate** [](https://www.npmjs.com/package/moorcheh-chat-boilerplate) **⚡ N8N Nodes** [](https://www.npmjs.com/package/n8n-nodes-moorcheh) |
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</div> |
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--- |
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## 📚 Repositories |
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<div align="center"> |
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[](https://github.com/moorcheh-ai/moorcheh-python-sdk) [](https://github.com/moorcheh-ai/moorcheh-boilerplate) [](https://github.com/moorcheh-ai/moorcheh-mcp) |
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</div> |
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--- |
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## 🔌 Integrations |
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<div align="center"> |
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[](https://github.com/moorcheh-ai/moorcheh-langchain-integration) [](https://github.com/moorcheh-ai/n8n-nodes-moorcheh) [](https://github.com/run-llama/llama_index/tree/main/llama-index-integrations/vector_stores/llama-index-vector-stores-moorcheh) |
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</div> |
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--- |
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## 💡 Use Cases |
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| --- | --- | |
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| **[Analyzing Codebases](https://github.com/moorcheh-ai/moorcheh-examples/tree/main/AnalyzingCodebases_WithFirecrawlAndLlamaIndex)** <br> Learn how to analyze codebases by integrating Moorcheh with Firecrawl and LlamaIndex. | **[Analyzing Financial Documents](https://github.com/moorcheh-ai/moorcheh-examples/tree/main/AnalyzingFinancialDocuments_WithLangChain)** <br> Learn how to analyze financial documents by integrating Moorcheh with LangChain. | |
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| **[Analyzing Geographical Documents](https://github.com/moorcheh-ai/moorcheh-examples/tree/main/AnalyzingGeographicalDocuments_WithLlamaIndex)** <br> Learn how to analyze geographical documents by integrating Moorcheh with LlamaIndex. | **[Analyzing Healthcare Documents](https://github.com/moorcheh-ai/moorcheh-examples/tree/main/AnalyzingHealthcareDocuments_WithLlamaIndex)** <br> Learn how to analyze healthcare documents by integrating Moorcheh with LlamaIndex. | |
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| **[Analyzing Legal Documents](https://github.com/moorcheh-ai/moorcheh-examples/tree/main/AnalyzingLegalDocuments_WithLlamaIndex)** <br> Learn how to analyze legal documents by integrating Moorcheh with LlamaIndex. | **[Analyzing Moorcheh Website](https://github.com/moorcheh-ai/moorcheh-examples/tree/main/AnalyzingMoorchehWebsite_WithFirecrawl)** <br> Learn how to analyze the Moorcheh website by integrating Moorcheh with Firecrawl. | |
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| **[Analyzing Scientific Journals](https://github.com/moorcheh-ai/moorcheh-examples/tree/main/AnalyzingScientificJournals_WithLangChain)** <br> Learn how to analyze scientific journals by integrating Moorcheh with LangChain. | | |
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--- |
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## 🚀 Getting Started |
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<div align="center"> |
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[](https://console.moorcheh.ai/api-keys) |
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[](https://console.moorcheh.ai/namespaces) |
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[](https://console.moorcheh.ai/playground) |
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[](https://console.moorcheh.ai/docs) |
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</div> |
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**📦 Install the SDK:** |
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```bash |
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pip install moorcheh-sdk |
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``` |
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**🚀 Quick Start Example:** |
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```python |
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import os |
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from moorcheh_sdk import MoorchehClient |
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# Initialize client |
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client = MoorchehClient(api_key=os.getenv("MOORCHEH_API_KEY")) |
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# Create namespace and upload documents |
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client.create_namespace("my-rag", "text") |
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client.upload_documents("my-rag", [ |
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{"id": "doc1", "text": "Your content...", "metadata": {}} |
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]) |
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# Get AI-powered answers |
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answer = client.get_generative_answer( |
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namespace="my-rag", |
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query="Your question here" |
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) |
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print(answer["answer"]) |
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``` |
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**🛠️ Complete toolkit for Python developers:** |
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* **Namespace management (text/vector)** |
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* **Document and vector ingestion** |
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* **Advanced semantic search with filtering** |
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* **Built-in RAG system support** |
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* **Generative AI integration** |
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* **Comprehensive error handling** |
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--- |
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## Why Moorcheh.ai? |
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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. |
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### 🧮 Information-Theoretical Foundation |
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* **ITS (Information-Theoretical Similarity) Scoring**: Our proprietary algorithm goes beyond traditional cosine similarity, providing more nuanced and contextually aware search results |
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* **Mathematical Precision**: Built on solid information theory foundations for consistent, explainable results |
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* **Superior Accuracy**: Outperforms traditional vector databases in semantic understanding and relevance |
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### 🏢 Enterprise-Ready Features |
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* **Scalable Architecture**: Handle enterprise workloads with confidence |
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* **Multi-Modal Support**: Text and vector embeddings in unified namespaces |
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* **Production Monitoring**: Built-in analytics and performance metrics |
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--- |
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<div align="center"> |
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**Transform your search. Elevate your AI. Choose Moorcheh.ai.** |
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<!-- *Built for developers, trusted by enterprises.* --> |
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</div> |
