fix docs build

docs/docs/starter-projects/basic-prompting.mdx

@@ -14,7 +14,7 @@ This article demonstrates how to use Langflow's prompt tools to issue basic prom
 
 ## Prerequisites
 
-- [Langflow installed and running](../getting-started/install-langflow.mdx)
+- [Langflow installed and running](../getting-started/install-langflow)
 
 - [OpenAI API key created](https://platform.openai.com)
 
@@ -62,4 +62,8 @@ This should be interesting...
    The **Edit Prompt** window opens.
 2. Change `Answer the user as if you were a pirate` to a different character, perhaps `Answer the user as if you were Harold Abelson.`
 3. Run the basic prompting flow again.
-   The response will be markedly different.
+   The response will be markedly different.import ThemedImage from "@theme/ThemedImage";
+   import useBaseUrl from "@docusaurus/useBaseUrl";
+   import ZoomableImage from "/src/theme/ZoomableImage.js";
+   import ReactPlayer from "react-player";
+   import Admonition from "@theme/Admonition";

docs/docs/starter-projects/blog-writer.mdx

@@ -10,7 +10,7 @@ Build a blog writer with OpenAI that uses URLs for reference content.
 
 ## Prerequisites
 
-- [Langflow installed and running](../getting-started/install-langflow.mdx)
+- [Langflow installed and running](../getting-started/install-langflow)
 
 - [OpenAI API key created](https://platform.openai.com)
 
@@ -75,4 +75,8 @@ The `reference_1` and `reference_2` values are received from the **URL** fields
 3. The **OpenAI** component constructs a blog post with the **URL** items as context.
    The default **URL** values are for web pages at `promptingguide.ai`, so your blog post will be about prompting LLMs.
 
-To write about something different, change the values in the **URL** components, and see what the LLM constructs.
+To write about something different, change the values in the **URL** components, and see what the LLM constructs.import ThemedImage from "@theme/ThemedImage";
+import useBaseUrl from "@docusaurus/useBaseUrl";
+import ZoomableImage from "/src/theme/ZoomableImage.js";
+import ReactPlayer from "react-player";
+import Admonition from "@theme/Admonition";

docs/docs/starter-projects/document-qa.mdx

@@ -10,7 +10,7 @@ Build a question-and-answer chatbot with a document loaded from local memory.
 
 ## Prerequisites
 
-- [Langflow installed and running](../getting-started/install-langflow.mdx)
+- [Langflow installed and running](../getting-started/install-langflow)
 
 - [OpenAI API key created](https://platform.openai.com)
 
@@ -67,4 +67,8 @@ Including a file with the prompt gives the **OpenAI** component context it may n
 The issue occurred during the execution of migrations in the application. Specifically, an error was raised by the Alembic library, indicating that new upgrade operations were detected that had not been accounted for in the existing migration scripts. The operation in question involved modifying the nullable property of a column (apikey, created_at) in the database, with details about the existing type (DATETIME()), existing server default, and other properties.
 ```
 
-This result indicates that the bot received the loaded document and understood the context surrounding the vague question. It also correctly identified the issue in the error log, and followed up with appropriate troubleshooting suggestions. Nice!
+This result indicates that the bot received the loaded document and understood the context surrounding the vague question. It also correctly identified the issue in the error log, and followed up with appropriate troubleshooting suggestions. Nice!import ThemedImage from "@theme/ThemedImage";
+import useBaseUrl from "@docusaurus/useBaseUrl";
+import ZoomableImage from "/src/theme/ZoomableImage.js";
+import ReactPlayer from "react-player";
+import Admonition from "@theme/Admonition";

docs/docs/starter-projects/memory-chatbot.mdx

@@ -6,11 +6,11 @@ import Admonition from "@theme/Admonition";
 
 # Memory Chatbot
 
-This flow extends the [basic prompting flow](./basic-prompting.mdx) to include chat memory for unique SessionIDs.
+This flow extends the [basic prompting flow](./basic-prompting) to include chat memory for unique SessionIDs.
 
 ## Prerequisites
 
-- [Langflow installed and running](../getting-started/install-langflow.mdx)
+- [Langflow installed and running](../getting-started/install-langflow)
 
 - [OpenAI API key created](https://platform.openai.com)
 
@@ -81,4 +81,8 @@ To store **Session ID** as a Langflow variable, in the **Session ID** field, cli
 1. In the **Variable Name** field, enter a name like `customer_chat_emea`.
 2. In the **Value** field, enter a value like `1B5EBD79-6E9C-4533-B2C8-7E4FF29E983B`.
 3. Click **Save Variable**.
-4. Apply this variable to **Chat Input**.
+4. Apply this variable to **Chat Input**.import ThemedImage from "@theme/ThemedImage";
+   import useBaseUrl from "@docusaurus/useBaseUrl";
+   import ZoomableImage from "/src/theme/ZoomableImage.js";
+   import ReactPlayer from "react-player";
+   import Admonition from "@theme/Admonition";

docs/docs/starter-projects/vector-store-rag.mdx

@@ -23,7 +23,7 @@ We've chosen [Astra DB](https://astra.datastax.com/signup?utm_source=langflow-pr
   to create your own Langflow workspace in minutes.
 </Admonition>
 
-- [Langflow installed and running](../getting-started/install-langflow.mdx)
+- [Langflow installed and running](../getting-started/install-langflow)
 
 - [OpenAI API key](https://platform.openai.com)
 
@@ -106,4 +106,8 @@ AI
 You should use a 3/8 inch wrench to remove the oil drain cap.
 ```
 
-This is the size the engine manual lists as well. This confirms our flow works, because the query returns the unique knowledge we embedded from the Astra vector store.
+This is the size the engine manual lists as well. This confirms our flow works, because the query returns the unique knowledge we embedded from the Astra vector store.import ThemedImage from "@theme/ThemedImage";
+import useBaseUrl from "@docusaurus/useBaseUrl";
+import ZoomableImage from "/src/theme/ZoomableImage.js";
+import ReactPlayer from "react-player";
+import Admonition from "@theme/Admonition";