From 4bff5408d870249271d69f4c7f4e82634e61a3d6 Mon Sep 17 00:00:00 2001
From: Jesse R Weigel <jesseweigel@gmail.com>
Date: Fri, 11 Apr 2025 09:14:05 -0400
Subject: [PATCH 1/2] Create output folder if it doesn't exits (#2573)

When running this project, I got an error because the output folder had not been created.

I added a line to check if the output folder exists and create it if needed.
---
 docs/guides/flows/first-flow.mdx | 4 ++++
 1 file changed, 4 insertions(+)

diff --git a/docs/guides/flows/first-flow.mdx b/docs/guides/flows/first-flow.mdx
index ab03693b9..cb10de275 100644
--- a/docs/guides/flows/first-flow.mdx
+++ b/docs/guides/flows/first-flow.mdx
@@ -263,6 +263,7 @@ Let's create our flow in the `main.py` file:
 ```python
 #!/usr/bin/env python
 import json
+import os
 from typing import List, Dict
 from pydantic import BaseModel, Field
 from crewai import LLM
@@ -341,6 +342,9 @@ class GuideCreatorFlow(Flow[GuideCreatorState]):
         outline_dict = json.loads(response)
         self.state.guide_outline = GuideOutline(**outline_dict)
 
+        # Ensure output directory exists before saving
+        os.makedirs("output", exist_ok=True)
+
         # Save the outline to a file
         with open("output/guide_outline.json", "w") as f:
             json.dump(outline_dict, f, indent=2)

From 0cd524af86e3e6b3abdd6b5157196c8efc9b4f4f Mon Sep 17 00:00:00 2001
From: Cypher Pepe <125112044+cypherpepe@users.noreply.github.com>
Date: Fri, 11 Apr 2025 18:58:01 +0300
Subject: [PATCH 2/2] fixed broken link in 
 `docs/tools/weaviatevectorsearchtool.mdx` (#2569)

---
 docs/tools/weaviatevectorsearchtool.mdx | 4 ++--
 1 file changed, 2 insertions(+), 2 deletions(-)

diff --git a/docs/tools/weaviatevectorsearchtool.mdx b/docs/tools/weaviatevectorsearchtool.mdx
index 53922e4e2..d17bcfef5 100644
--- a/docs/tools/weaviatevectorsearchtool.mdx
+++ b/docs/tools/weaviatevectorsearchtool.mdx
@@ -25,7 +25,7 @@ uv add weaviate-client
 To effectively use the `WeaviateVectorSearchTool`, follow these steps:
 
 1. **Package Installation**: Confirm that the `crewai[tools]` and `weaviate-client` packages are installed in your Python environment.
-2. **Weaviate Setup**: Set up a Weaviate cluster. You can follow the [Weaviate documentation](https://weaviate.io/developers/wcs/connect) for instructions.
+2. **Weaviate Setup**: Set up a Weaviate cluster. You can follow the [Weaviate documentation](https://weaviate.io/developers/wcs/manage-clusters/connect) for instructions.
 3. **API Keys**: Obtain your Weaviate cluster URL and API key.
 4. **OpenAI API Key**: Ensure you have an OpenAI API key set in your environment variables as `OPENAI_API_KEY`.
 
@@ -161,4 +161,4 @@ rag_agent = Agent(
 
 ## Conclusion
 
-The `WeaviateVectorSearchTool` provides a powerful way to search for semantically similar documents in a Weaviate vector database. By leveraging vector embeddings, it enables more accurate and contextually relevant search results compared to traditional keyword-based searches. This tool is particularly useful for applications that require finding information based on meaning rather than exact matches. 
\ No newline at end of file
+The `WeaviateVectorSearchTool` provides a powerful way to search for semantically similar documents in a Weaviate vector database. By leveraging vector embeddings, it enables more accurate and contextually relevant search results compared to traditional keyword-based searches. This tool is particularly useful for applications that require finding information based on meaning rather than exact matches.