AI Module Configuration Example

This page provides an example configuration for integrating the AI Content Assistant with LiteLLM (using OpenAI), PgVector as the vector store for Retrieval-Augmented Generation (RAG), and the ingestion process set to preview mode.

For detailed information about available options and supported configurations, see Initialize and configure the AI Content Assistant and its related pages.

Properties Format

The following example shows how to configure the AI module using Java properties:

brxm.ai.provider=LiteLLM
brxm.ai.chat.max-messages=30
brxm.ai.chat.pdf.max-size-bytes=19000

#LiteLLM
spring.ai.litellm.api.url=https://mylitellmhost/
spring.ai.litellm.api_key=mykey
spring.ai.litellm.chat.options.model=openai/gpt-4o
spring.ai.litellm.chat.options.max-tokens=15000
spring.ai.litellm.embedding.options.model=openai/text-embedding-3-large
spring.ai.litellm.embedding.options.dimensions=1536

#Vector store config
brxm.ai.vectorstore=PgVector
brxm.ai.vectorstore.pgvector.url=jdbc:postgresql://mypostgreshost:5432/myvectordb
brxm.ai.vectorstore.pgvector.password=mypassword
brxm.ai.vectorstore.pgvector.username=mypguser
brxm.ai.vectorstore.pgvector.dimensions=1536

#Ingestion config
brxm.ai.ingest.mode=preview
brxm.ai.ingest.types=myproject:bannerdocument, hippogallery:exampleAssetSet
brxm.ai.ingest.interval=120
brxm.ai.ingest.batch-size=5
brxm.ai.ingest.delay=1000
brxm.ai.ingest.initial-delay=300

YAML Format

The following example shows the same configuration in Bloomreach JCR YAML format:

/hippo:moduleconfig:
  jcr:primaryType: hipposys:moduleconfig

  brxm.ai.provider: LiteLLM
  brxm.ai.chat.max-messages: '30'
  brxm.ai.chat.pdf.max-size-bytes: '19000'

  #LiteLLM
  spring.ai.litellm.api.url: https://mylitellmhost/
  spring.ai.litellm.api_key: mykey
  spring.ai.litellm.chat.options.model: openai/gpt-4o
  spring.ai.litellm.chat.options.max-tokens: '15000'
  spring.ai.litellm.embedding.options.model: openai/text-embedding-3-large
  spring.ai.litellm.embedding.options.dimensions: '1536'

  #Vector store config
  brxm.ai.vectorstore: PgVector
  brxm.ai.vectorstore.pgvector.url: jdbc:postgresql://mypostgreshost:5432/myvectordb
  brxm.ai.vectorstore.pgvector.password: mypassword
  brxm.ai.vectorstore.pgvector.username: mypguser
  brxm.ai.vectorstore.pgvector.dimensions: '1536'

  #Ingestion config
  brxm.ai.ingest.mode: preview
  brxm.ai.ingest.types: myproject:bannerdocument, hippogallery:exampleAssetSet
  brxm.ai.ingest.interval: '120'
  brxm.ai.ingest.batch-size: '5'
  brxm.ai.ingest.delay: '1000'
  brxm.ai.ingest.initial-delay: '300'
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