Add agentic examples (#37)

* Add agentic examples

---------

Co-authored-by: Robert Shelton <[email protected]>
Co-authored-by: Justin Cechmanek <[email protected]>

Author: 3 people

.github/workflows/test.yml

@@ -50,4 +50,4 @@ jobs:
         GCP_REGION: ${{ secrets.GCP_REGION }}
         GCP_PROJECT_ID: ${{ secrets.GCP_PROJECT_ID }}
       run: |
-        pytest --verbose --nbval-lax python-recipes/RAG/ python-recipes/vector-search python-recipes/redis-intro python-recipes/recommendation-systems --ignore python-recipes/RAG/05_nvidia_ai_rag_redis.ipynb --ignore python-recipes/semantic-cache/doc2cache_llama3_1.ipynb
+        pytest --verbose --nbval-lax python-recipes/RAG/ python-recipes/vector-search python-recipes/redis-intro python-recipes/recommendation-systems python-recipes/agents --ignore python-recipes/agents/01_crewai_langgraph_redis.ipynb --ignore python-recipes/RAG/05_nvidia_ai_rag_redis.ipynb --ignore python-recipes/semantic-cache/doc2cache_llama3_1.ipynb

.gitignore

@@ -1,2 +1,3 @@
 .env
-node_modules/
+node_modules/
+.DS_Store

README.md

@@ -94,6 +94,13 @@ For further insights on enhancing RAG applications with dense content representa
 | --- | --- |
 [/RAG/04_advanced_redisvl.ipynb](python-recipes/RAG/04_advanced_redisvl.ipynb) | Notebook for additional tips and techniques to improve RAG quality |
 
+## Agents
+/Users/robert.shelton/Documents/redis-ai-resources/python-recipes/agents/01_crewai_langgraph_redis.ipynb
+| Recipe | Description |
+| --- | --- |
+[/agents/00_langgraph_redis_agentic_rag.ipynb](python-recipes/agents/00_langgraph_redis_agentic_rag.ipynb) | Notebook to get started with lang-graph and agents |
+[/agents/01_crewai_langgraph_redis.ipynb](python-recipes/agents/01_crewai_langgraph_redis.ipynb) | Notebook to get started with lang-graph and agents |
+
 ## Recommendation systems
 
 | Recipe | Description |

python-recipes/agents/00_langgraph_redis_agentic_rag.ipynb

@@ -3,6 +3,9 @@
 openai
 tiktoken
 langchain
+langgraph
+langchainhub
+langchain-text-splitters
 langchain-openai
 langchain-redis
 langchain-huggingface