Use OpenSearch storage

pip install "veadk-python[extensions]"

from veadk import Agent
from veadk.knowledgebase import KnowledgeBase

# index must be lowercase, only a-z0-9_-., and not start with _ or -
kb = KnowledgeBase(backend="opensearch", index="company_faq")
assert kb.add_from_text("The standard annual leave is 15 days per year, available after one year of service.")
for entry in kb.search("annual leave", top_k=3):
    print(entry.content)

agent = Agent(
    name="demo",
    instruction="Answer the user; when needed, use the `load_knowledgebase` tool to search the knowledge base.",
    knowledgebase=kb,
)

import os

from veadk.knowledgebase import KnowledgeBase
from veadk.configs.database_configs import OpensearchConfig

kb = KnowledgeBase(
    backend="opensearch",
    index="company_faq",
    backend_config={
        "index": "company_faq",
        "opensearch_config": OpensearchConfig(
            host="localhost",
            port=9200,
            username="admin",
            password=os.environ["DATABASE_OPENSEARCH_PASSWORD"],
            use_ssl=True,
            cert_path="/path/to/ca.pem",
        ),
    },
)

# OpenSearch connection
export DATABASE_OPENSEARCH_HOST="localhost"
export DATABASE_OPENSEARCH_PORT=9200
export DATABASE_OPENSEARCH_USERNAME="admin"
export DATABASE_OPENSEARCH_PASSWORD="admin"
export DATABASE_OPENSEARCH_USE_SSL=true
export DATABASE_OPENSEARCH_CERT_PATH="/path/to/ca.pem"

# Embedding model
export MODEL_EMBEDDING_NAME="doubao-embedding-vision-250615"
export MODEL_EMBEDDING_DIM=2048
export MODEL_EMBEDDING_API_KEY="your-ark-api-key"