The JSONKnowledgeBase reads local JSON files, converts them into vector embeddings and loads them to a vector database.

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Usage

We are using a local PgVector database for this example. Make sure it’s running
knowledge_base.py
from agno.knowledge.json import JSONKnowledgeBase
from agno.vectordb.pgvector import PgVector

knowledge_base = JSONKnowledgeBase(
    path="data/json",
    # Table name: ai.json_documents
    vector_db=PgVector(
        table_name="json_documents",
        db_url="postgresql+psycopg://ai:ai@localhost:5532/ai",
    ),
)
Then use the knowledge_base with an Agent:
agent.py
from agno.agent import Agent
from knowledge_base import knowledge_base

agent = Agent(
    knowledge=knowledge_base,
    search_knowledge=True,
)
agent.knowledge.load(recreate=False)

agent.print_response("Ask me about something from the knowledge base")

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JSONKnowledgeBase also supports async loading.

pip install qdrant-client
We are using a local Qdrant database for this example. Make sure it’s running
async_knowledge_base.py
import asyncio
from pathlib import Path

from agno.agent import Agent
from agno.knowledge.json import JSONKnowledgeBase
from agno.vectordb.qdrant import Qdrant

COLLECTION_NAME = "json-reader"

vector_db = Qdrant(collection=COLLECTION_NAME, url="http://localhost:6333")

knowledge_base = JSONKnowledgeBase(
    path=Path("tmp/docs"),
    vector_db=vector_db,
    num_documents=5,  # Number of documents to return on search
)

# Initialize the Agent with the knowledge_base
agent = Agent(
    knowledge=knowledge_base,
    search_knowledge=True,
)

if __name__ == "__main__":
    # Comment out after first run
    asyncio.run(knowledge_base.aload(recreate=False))

    # Create and use the agent
    asyncio.run(
        agent.aprint_response(
            "Ask anything from the json knowledge base", markdown=True
        )
    )

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Params

ParameterTypeDefaultDescription
pathUnion[str, Path]-Path to JSON files.
Can point to a single JSON file or a directory of JSON files.
readerJSONReaderJSONReader()A JSONReader that converts the JSON files into Documents for the vector database.
JSONKnowledgeBase is a subclass of the AgentKnowledge class and has access to the same params.

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Developer Resources