Creating Knowledge Base from non-Agno Qdrant Collection

General
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1

Hello Agno community! What’s the best way to create a knowledge base using an existing Qdrant collection that wasn’t created with Agno? I have a collection I created directly with Qdrant’s API and would like to use it with Agno’s knowledge base features.

2

Hey @Southern_Push2935! We have a cookbook that will showcase your usecase

let me know if this is something that will help you

1 Like
3

Hi @manthanguptaa - Thank you for the help!
I’m testing it out but having an issue - I don’t see the tool calls in the output even though I have show_tool_calls=True, so I can’t tell if it’s responding with its own knowledge or actually using the retriever. Here’s my simplified code:

from agno.agent import Agent
from agno.models.anthropic import Claude
from agno.embedder.ollama import OllamaEmbedder

from qdrant_client import QdrantClient
from typing import Optional

embedder = OllamaEmbedder(id="mxbai-embed-large", host='[HOST_URL]')

def retriever(
    query: str, agent: Optional[Agent] = None, num_documents: int = 5, **kwargs
) -> Optional[list[dict]]:
    try:
        qdrant_client = QdrantClient(url="[QDRANT_URL]")
        query_embedding = embedder.get_embedding(query)
        results = qdrant_client.query_points(
            collection_name="my-collection",
            query=query_embedding,
            limit=num_documents,
        )
        results_dict = results.model_dump()
        if "points" in results_dict:
            return results_dict["points"]
        else:
            return None
    except Exception as e:
        print(f"Error retrieving documents: {e}")
        return None

agent = Agent(
    name="My Agent",
    retriever=retriever,
    search_knowledge=True,
    show_tool_calls=True,
    model=Claude(id="claude-3-5-sonnet-latest", temperature=0.1),
    markdown=True
)

agent.print_response("Test query")