pip install couchbase

docker run -d --name couchbase \
  -p 8091-8096:8091-8096 \
  -p 11210-11211:11210-11211 \
  couchbase:latest

from praisonaiagents import Agent

agent = Agent(
    name="Assistant",
    instructions="You are a helpful assistant with access to documents.",
    knowledge=["./docs/guide.pdf"]
)

agent.chat("What does the guide say?")

from praisonai.persistence.factory import create_knowledge_store

store = create_knowledge_store(
    "couchbase",
    connection_string="couchbase://localhost",
    username="Administrator",
    password="password",
    bucket_name="praisonai"
)

{
  "type": "fulltext-index",
  "name": "vector_index",
  "sourceType": "couchbase",
  "sourceName": "praisonai",
  "planParams": {
    "indexPartitions": 1
  },
  "params": {
    "mapping": {
      "types": {
        "vectors": {
          "properties": {
            "embedding": {
              "enabled": true,
              "dynamic": false,
              "fields": [{
                "dims": 1536,
                "similarity": "dot_product",
                "type": "vector"
              }]
            }
          }
        }
      }
    }
  }
}