Update embedder docs to show openai key is used for LLM (#2033)

docs/components/embedders/models/azure_openai.mdx

@@ -15,6 +15,8 @@ os.environ["EMBEDDING_AZURE_DEPLOYMENT"] = "your-deployment-name"
 os.environ["EMBEDDING_AZURE_ENDPOINT"] = "your-api-base-url"
 os.environ["EMBEDDING_AZURE_API_VERSION"] = "version-to-use"
 
+os.environ["OPENAI_API_KEY"] = "your_api_key" # For LLM
+
 
 config = {
     "embedder": {

docs/components/embedders/models/gemini.mdx

@@ -11,6 +11,7 @@ import os
 from mem0 import Memory
 
 os.environ["GOOGLE_API_KEY"] = "key"
+os.environ["OPENAI_API_KEY"] = "your_api_key" # For LLM
 
 config = {
     "embedder": {

docs/components/embedders/models/huggingface.mdx

@@ -10,7 +10,7 @@ You can use embedding models from Huggingface to run Mem0 locally.
 import os
 from mem0 import Memory
 
-os.environ["OPENAI_API_KEY"] = "your_api_key"
+os.environ["OPENAI_API_KEY"] = "your_api_key" # For LLM
 
 config = {
     "embedder": {

docs/components/embedders/models/ollama.mdx

@@ -6,7 +6,7 @@ You can use embedding models from Ollama to run Mem0 locally.
 import os
 from mem0 import Memory
 
-os.environ["OPENAI_API_KEY"] = "your_api_key"
+os.environ["OPENAI_API_KEY"] = "your_api_key" # For LLM
 
 config = {
     "embedder": {

docs/components/embedders/models/together.mdx

@@ -13,6 +13,7 @@ import os
 from mem0 import Memory
 
 os.environ["TOGETHER_API_KEY"] = "your_api_key"
+os.environ["OPENAI_API_KEY"] = "your_api_key" # For LLM
 
 config = {
     "embedder": {

docs/components/embedders/models/vertexai.mdx

@@ -10,6 +10,7 @@ from mem0 import Memory
 
 # Set the path to your Google Cloud credentials JSON file
 os.environ["GOOGLE_APPLICATION_CREDENTIALS"] = "/path/to/your/credentials.json"
+os.environ["OPENAI_API_KEY"] = "your_api_key" # For LLM
 
 config = {
     "embedder": {