Fix escaped quotes in README and homepage

Author: sun

README.md

@@ -6,12 +6,12 @@
 
 ## 🌟 What can Compileo do?
 
-Compileo isn't just a parser—it's a comprehensive **data engineering ecosystem**. It automates the complex journey from \"Messy Source\" to \"Validated, Categorized Intelligence.\"
+Compileo isn't just a parser—it's a comprehensive **data engineering ecosystem**. It automates the complex journey from "Messy Source" to Validated, Categorized Intelligence.
 
 ### 📖 Multi-Source Knowledge Consolidation
 Imagine you have several thick textbooks and want to create a specialized dataset focused only on **disease treatments**. Compileo can:
 1.  **Ingest** all books simultaneously (PDF, DOCX, etc.).
-2.  **Discover** a unified \"Treatment\" taxonomy across all sources automatically.
+2.  **Discover** a unified "Treatment" taxonomy across all sources automatically.
 3.  **Extract** every mention of treatments, dosages, and contraindications with high precision.
 4.  **Consolidate** this into one unified, high-quality Q&A dataset for training or study.
 
@@ -27,8 +27,8 @@ Compileo is designed for every workflow:
 
 ### 📄 Intelligent Document Processing & AI-Assisted Chunking
 *   **Massive PDF Autonomy**: Automatically splits 1,000+ page documents into manageable segments with **semantic overlaps**, ensuring LLM token limits are never hit while preserving context.
-*   **Two-Pass VLM Parsing**: Employs a \"Skim and Extract\" methodology using Vision-Language Models (Grok, Gemini, Ollama) to first understand document layout and then extract high-fidelity Markdown.
-*   **AI-Assisted Strategy Recommendation**: Don't guess how to split your data. Describe your goal (e.g., *\"I want to extract detailed surgical procedures\"*), and Compileo's AI will analyze your documents to recommend the optimal **Semantic**, **Token**, or **Schema-based** chunking strategy.
+*   **Two-Pass VLM Parsing**: Employs a "Skim and Extract" methodology using Vision-Language Models (Grok, Gemini, Ollama) to first understand document layout and then extract high-fidelity Markdown.
+*   **AI-Assisted Strategy Recommendation**: Don't guess how to split your data. Describe your goal (e.g., *"I want to extract detailed surgical procedures"*), and Compileo's AI will analyze your documents to recommend the optimal **Semantic**, **Token**, or **Schema-based** chunking strategy.
 
 ### 🧠 Semantic Data Engineering
 *   **AI-Assisted Taxonomy**: Don't waste weeks defining categories. Compileo's **Smart Sampling** selects representative content to suggest and build hierarchical knowledge trees automatically.

docs/index.md

@@ -6,12 +6,12 @@
 
 ## 🌟 What can Compileo do?
 
-Compileo isn't just a parser—it's a comprehensive **data engineering ecosystem**. It automates the complex journey from \"Messy Source\" to \"Validated, Categorized Intelligence.\"
+Compileo isn't just a parser—it's a comprehensive **data engineering ecosystem**. It automates the complex journey from "Messy Source" to Validated, Categorized Intelligence."
 
 ### 📖 Multi-Source Knowledge Consolidation
 Imagine you have several thick textbooks and want to create a specialized dataset focused only on **disease treatments**. Compileo can:
 1.  **Ingest** all books simultaneously (PDF, DOCX, etc.).
-2.  **Discover** a unified \"Treatment\" taxonomy across all sources automatically.
+2.  **Discover** a unified "Treatment" taxonomy across all sources automatically.
 3.  **Extract** every mention of treatments, dosages, and contraindications with high precision.
 4.  **Consolidate** this into one unified, high-quality Q&A dataset for training or study.
 
@@ -27,8 +27,8 @@ Compileo is designed for every workflow:
 
 ### 📄 Intelligent Document Processing & AI-Assisted Chunking
 *   **Massive PDF Autonomy**: Automatically splits 1,000+ page documents into manageable segments with **semantic overlaps**, ensuring LLM token limits are never hit while preserving context.
-*   **Two-Pass VLM Parsing**: Employs a \"Skim and Extract\" methodology using Vision-Language Models (Grok, Gemini, Ollama) to first understand document layout and then extract high-fidelity Markdown.
-*   **AI-Assisted Strategy Recommendation**: Don't guess how to split your data. Describe your goal (e.g., *\"I want to extract detailed surgical procedures\"*), and Compileo's AI will analyze your documents to recommend the optimal **Semantic**, **Token**, or **Schema-based** chunking strategy.
+*   **Two-Pass VLM Parsing**: Employs a "Skim and Extract" methodology using Vision-Language Models (Grok, Gemini, Ollama) to first understand document layout and then extract high-fidelity Markdown.
+*   **AI-Assisted Strategy Recommendation**: Don't guess how to split your data. Describe your goal (e.g., *"I want to extract detailed surgical procedures"*), and Compileo's AI will analyze your documents to recommend the optimal **Semantic**, **Token**, or **Schema-based** chunking strategy.
 
 ### 🧠 Semantic Data Engineering
 *   **AI-Assisted Taxonomy**: Don't waste weeks defining categories. Compileo's **Smart Sampling** selects representative content to suggest and build hierarchical knowledge trees automatically.