Update neo4j template readmes (#12540)

templates/neo4j-cypher-ft/README.md

@@ -1,9 +1,22 @@
 # Neo4j Knowledge Graph: Enhanced mapping from text to database using a full-text index
 
 This template allows you to chat with Neo4j graph database in natural language, using an OpenAI LLM.
+Its primary purpose is to convert a natural language question into a Cypher query (which is used to query Neo4j databases), 
+execute the query, and then provide a natural language response based on the query's results.
 The addition of the full-text index ensures efficient mapping of values from text to database for more precise Cypher statement generation.
+In this example, full-text index is used to map names of people and movies from the user's query with corresponding database entries.
 
-## Set up Environment
+## Neo4j database
+
+There are a number of ways to set up a Neo4j database.
+
+### Neo4j Aura
+
+Neo4j AuraDB is a fully managed cloud graph database service.
+Create a free instance on [Neo4j Aura](https://neo4j.com/cloud/platform/aura-graph-database?utm_source=langchain&utm_content=langserve).
+When you initiate a free database instance, you'll receive credentials to access the database.
+
+##  Environment variables
 
 You need to define the following environment variables
 
@@ -14,9 +27,16 @@ NEO4J_USERNAME=<YOUR_NEO4J_USERNAME>
 NEO4J_PASSWORD=<YOUR_NEO4J_PASSWORD>
 ```
 
+## Populating with data
+
+If you want to populate the DB with some example data, you can run `python ingest.py`.
+This script will populate the database with sample movie data.
+Additionally, it will create an full-text index named `entity`, which is used to 
+map person and movies from user input to database values for precise Cypher statement generation.
+
 ## Installation
 
 ```bash
 # from inside your LangServe instance
-poe add neo4j-cypher
+poe add neo4j-cypher-ft
 ```