Correction of incorrect words (#23557)

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templates/neo4j-semantic-layer/README.md

@@ -1,7 +1,7 @@
 # neo4j-semantic-layer
 
 This template is designed to implement an agent capable of interacting with a graph database like Neo4j through a semantic layer using OpenAI function calling.
-The semantic layer equips the agent with a suite of robust tools, allowing it to interact with the graph databas based on the user's intent.
+The semantic layer equips the agent with a suite of robust tools, allowing it to interact with the graph database based on the user's intent.
 Learn more about the semantic layer template in the [corresponding blog post](https://medium.com/towards-data-science/enhancing-interaction-between-language-models-and-graph-databases-via-a-semantic-layer-0a78ad3eba49).
 
 ![Diagram illustrating the workflow of the Neo4j semantic layer with an agent interacting with tools like Information, Recommendation, and Memory, connected to a knowledge graph.](https://raw.githubusercontent.com/langchain-ai/langchain/master/templates/neo4j-semantic-layer/static/workflow.png "Neo4j Semantic Layer Workflow Diagram")

templates/rag-opensearch/README.md

@@ -15,7 +15,7 @@ And optionally set the OpenSearch ones if not using defaults:
 - `OPENSEARCH_PASSWORD` - Password for the OpenSearch instance
 - `OPENSEARCH_INDEX_NAME` - Name of the index 
 
-To run the default OpenSeach instance in docker, you can use the command
+To run the default OpenSearch instance in docker, you can use the command
 ```shell
 docker run -p 9200:9200 -p 9600:9600 -e "discovery.type=single-node" --name opensearch-node -d opensearchproject/opensearch:latest
 ```
@@ -79,4 +79,4 @@ We can access the template from code with:
 from langserve.client import RemoteRunnable
 
 runnable = RemoteRunnable("http://localhost:8000/rag-opensearch")
-```
+```