diff --git a/README.md b/README.md
index 65d144b..0a87b33 100644
--- a/README.md
+++ b/README.md
@@ -29,6 +29,99 @@ podman-compose -f docker-compose.yaml up
 nodemon --ext '*' --exec "podman stop rag-chat-backend; podman rm rag-chat-backend; podman-compose -f docker-compose.yaml up --build"
 ```
 
+### Ollama (CLI)
+
+<details>
+<summary><b>Show Models from Ollama</b></summary>
+
+    curl http://localhost:11434/api/tags | jq
+
+</details>
+
+
+<details>
+<summary><b>Run Chat Completion</b></summary>
+
+    curl http://localhost:11434/v1/chat/completions \
+        -H "Content-Type: application/json" \
+        -d '{
+            "model": "phi3:latest",
+            "messages": [
+                {
+                    "role": "system",
+                    "content": "You are a helpful assistant."
+                },
+                {
+                    "role": "user",
+                    "content": "Hello!"
+                }
+            ]
+        }'
+
+</details>
+
+
+### VectorDB (CLI)
+
+<details>
+<summary><b>Quere Verctoriezed content</b></summary>
+
+    curl -X 'POST' \
+        'http://localhost:8000/api/search-engine?query=HTML%20of%20your%20question' \
+        -H 'accept: application/json' | jq
+
+</details>
+
+
+### VectorDB (Opensearch Dashboard)
+
+Run these at http://localhost:5601/app/dev_tools#/console
+
+<details>
+<summary><b>View Chunked Vectors</b></summary>
+
+    GET /my-project-name/_search
+    {
+        "query": {
+            "match_all": {}
+        }
+    }
+
+
+</details>
+
+
+<details>
+<summary><b>Get the three best documents with theire embeddings</b></summary>
+
+    GET /my-project-name/_search
+    {
+        "size": 0,
+        "query": {
+            "bool": {"must": [{"match": {"content": "Enter your Question here..."}}]}
+        },
+        "aggs": {
+            "group_by_source": {
+                "terms": {
+                    "field": "metadata.source.keyword",
+                    "size": 100000
+                    
+                },
+                "aggs": {
+                    "top_entries": {
+                        "top_hits": {
+                            "size": 3,
+                            "sort": [{"_score": {"order": "desc"}}],
+                            "_source": {"excludes": ["embedding_vector"]}
+                        }
+                    }
+                }
+            }
+        }
+    }
+
+</details>
+
 
 ## TODO