VectorStoreClient

The VectorStoreClient enables LLMs to dynamically query task memory.

Here is an example of how it can be used with the Pincone storage driver:

from griptape.structures import Agent
from griptape.tools import VectorStoreClient, TaskMemoryClient
from griptape.loaders import WebLoader
from griptape.engines import VectorQueryEngine
from griptape.drivers import LocalVectorStoreDriver, OpenAiEmbeddingDriver


engine = VectorQueryEngine(
    vector_store_driver=LocalVectorStoreDriver(embedding_driver=OpenAiEmbeddingDriver())
)

engine.upsert_text_artifacts(
    WebLoader().load("https://www.griptape.ai"),
    namespace="griptape"
)

vector_db = VectorStoreClient(
    description="This DB has information about the Griptape Python framework",
    query_engine=engine,
    namespace="griptape"
)

agent = Agent(
    tools=[vector_db, TaskMemoryClient(off_prompt=False)]
)

agent.run(
    "what is Griptape?"
)