neo4j-cypher

kind: tool
name: search_movies_by_actor
type: neo4j-cypher
source: my-neo4j-movies-instance
statement: |
  MATCH (m:Movie)<-[:ACTED_IN]-(p:Person)
  WHERE p.name = $name AND m.year > $year
  RETURN m.title, m.year
  LIMIT 10
description: |
  Use this tool to get a list of movies for a specific actor and a given minimum release year.
  Takes a full actor name, e.g. "Tom Hanks" and a year e.g 1993 and returns a list of movie titles and release years.
  Do NOT use this tool with a movie title. Do NOT guess an actor name, Do NOT guess a year.
  A actor name is a fully qualified name with first and last name separated by a space.
  For example, if given "Hanks, Tom" the actor name is "Tom Hanks".
  If the tool returns more than one option choose the most recent movies.
  Example:
  {{
      "name": "Meg Ryan",
      "year": 1993
  }}
  Example:
  {{
      "name": "Clint Eastwood",
      "year": 2000
  }}
parameters:
  - name: name
    type: string
    description: Full actor name, "firstname lastname"
  - name: year
    type: integer
    description: 4 digit number starting in 1900 up to the current year

kind: tool
name: insert_doc_neo4j
type: neo4j-cypher
source: my-neo4j-source
statement: |
  CREATE (n:Document {content: $content, embedding: $text_to_embed})
  RETURN 1 as result
description: |
  Index new documents for semantic search in Neo4j.
parameters:
  - name: content
    type: string
    description: The text content to store.
  - name: text_to_embed
    type: string
    # Automatically copies 'content' and converts it to a vector array
    valueFromParam: content
    embeddedBy: gemini-model

kind: tool
name: search_docs_neo4j
type: neo4j-cypher
source: my-neo4j-source
statement: |
  MATCH (n:Document)
  WITH n, vector.similarity.cosine(n.embedding, $query) AS score
  WHERE score IS NOT NULL
  ORDER BY score DESC
  LIMIT 1
  RETURN n.content as content
description: |
  Search for documents in Neo4j using natural language. 
  Returns the most semantically similar result.
parameters:
  - name: query
    type: string
    description: The search query to be converted to a vector.
    embeddedBy: gemini-model