feat: pg migration, more tables

docs/content/Guides/Architecture.mdx

@@ -54,8 +54,8 @@ flowchart LR
 *   **Technology:** Supports multiple LLM APIs and local engines.
 *   **Responsibility:** This layer provides an abstraction for interacting with Large Language Models (LLMs).
 *   **Key Features:**
-    *   Supports LLMs from OpenAI, Google, Anthropic, Groq, HuggingFace Inference API, Azure OpenAI, also compatable with local models like Ollama, LLaMa.cpp, Text Generation Inference (TGI), SGLang, vLLM, Aphrodite, FriendliAI, and LMDeploy.
-    *   Manages API key handling and request formatting and Tool fromatting.
+    *   Supports LLMs from OpenAI, Google, Anthropic, Groq, HuggingFace Inference API, Azure OpenAI, also compatible with local models like Ollama, LLaMa.cpp, Text Generation Inference (TGI), SGLang, vLLM, Aphrodite, FriendliAI, and LMDeploy.
+    *   Manages API key handling and request formatting and Tool formatting.
     *   Offers caching mechanisms to improve response times and reduce API usage.
     *   Handles streaming responses for a more interactive user experience.
 
@@ -120,7 +120,7 @@ sequenceDiagram
 
 ## Deployment Architecture
 
-DocsGPT is designed to be deployed using Docker and Kubernetes, here is a qucik overview of a simple k8s deployment.
+DocsGPT is designed to be deployed using Docker and Kubernetes, here is a quick overview of a simple k8s deployment.
 
 ```mermaid
 graph LR