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Update README with feature
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@ -36,7 +36,7 @@ Building enterprise AI applications is *hard*. You're not just connecting APIs w
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- 📄 **Data Ingest**: Bulk ingest documents such as `.pdf`,`.txt`, and `.md`
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- 📃 **OCR Pipelines**: OCR documents with PDF decode, Tesseract, or Mistral OCR services
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- 🪓 **Adjustable Chunking**: Choose your chunking algorithm and parameters
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- 🔁 **No-code LLM Integration**: **Anthropic**, **AWS Bedrock**, **AzureAI**, **AzureOpenAI**, **Cohere**, **Google AI Studio**, **Google VertexAI**, **Llamafiles**, **Mistral**, **Ollama**, and **OpenAI**
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- 🔁 **No-code LLM Integration**: **Anthropic**, **AWS Bedrock**, **AzureAI**, **AzureOpenAI**, **Cohere**, **Google AI Studio**, **Google VertexAI**, **Llamafiles**, **LM Studio**, **Mistral**, **Ollama**, and **OpenAI**
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- 📖 **Automated Knowledge Graph Building**: No need for complex ontologies and manual graph building
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- 🔢 **Knowledge Graph to Vector Embeddings Mappings**: Connect knowledge graph enhanced data directly to vector embeddings
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- ❔**Natural Language Data Retrieval**: Automatically perform a semantic similiarity search and subgraph extraction for the context of LLM generative responses
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