Configuration property fixed at build time - All other configuration properties are overridable at runtime

Configuration property

Type

Default

quarkus.langchain4j.neo4j.dimension

Dimension of the embeddings that will be stored in the Neo4j store.

Environment variable: QUARKUS_LANGCHAIN4J_NEO4J_DIMENSION

int

required

quarkus.langchain4j.neo4j.label

Label for the created nodes.

Environment variable: QUARKUS_LANGCHAIN4J_NEO4J_LABEL

string

Document

quarkus.langchain4j.neo4j.embedding-property

Name of the property to store the embedding vectors.

Environment variable: QUARKUS_LANGCHAIN4J_NEO4J_EMBEDDING_PROPERTY

string

embedding

quarkus.langchain4j.neo4j.id-property

Name of the property to store embedding IDs.

Environment variable: QUARKUS_LANGCHAIN4J_NEO4J_ID_PROPERTY

string

id

quarkus.langchain4j.neo4j.metadata-prefix

Prefix to be added to the metadata keys. By default, no prefix is used.

Environment variable: QUARKUS_LANGCHAIN4J_NEO4J_METADATA_PREFIX

string

quarkus.langchain4j.neo4j.text-property

Name of the property to store the embedding text.

Environment variable: QUARKUS_LANGCHAIN4J_NEO4J_TEXT_PROPERTY

string

text

quarkus.langchain4j.neo4j.index-name

Name of the index to be created for vector search.

Environment variable: QUARKUS_LANGCHAIN4J_NEO4J_INDEX_NAME

string

vector

quarkus.langchain4j.neo4j.database-name

Name of the database to connect to.

Environment variable: QUARKUS_LANGCHAIN4J_NEO4J_DATABASE_NAME

string

neo4j

quarkus.langchain4j.neo4j.retrieval-query

The query to use when retrieving embeddings. This query has to return the following columns:

  • metadata

  • score

  • column of the same name as the 'id-property' value

  • column of the same name as the 'text-property' value

  • column of the same name as the 'embedding-property' value

Environment variable: QUARKUS_LANGCHAIN4J_NEO4J_RETRIEVAL_QUERY

string

RETURN properties(node) AS metadata, node.${quarkus.langchain4j.neo4j.id-property} AS ${quarkus.langchain4j.neo4j.id-property}, node.${quarkus.langchain4j.neo4j.text-property} AS ${quarkus.langchain4j.neo4j.text-property}, node.${quarkus.langchain4j.neo4j.embedding-property} AS ${quarkus.langchain4j.neo4j.embedding-property}, score