JSON Loader

from upsonic import Agent, Task, KnowledgeBase
from upsonic.loaders.json import JSONLoader
from upsonic.loaders.config import JSONLoaderConfig
from upsonic.embeddings import OpenAIEmbedding, OpenAIEmbeddingConfig
from upsonic.text_splitter.recursive import RecursiveChunker, RecursiveChunkingConfig
from upsonic.vectordb import ChromaProvider, ChromaConfig, ConnectionConfig, Mode

# Configure loader for multi-document extraction
loader_config = JSONLoaderConfig(
    mode="multi",
    record_selector=".articles[]",
    content_mapper=".title + ' ' + .body",
    metadata_mapper={"author": ".author", "date": ".published"}
)
loader = JSONLoader(loader_config)

# Setup KnowledgeBase
embedding = OpenAIEmbedding(OpenAIEmbeddingConfig())
chunker = RecursiveChunker(RecursiveChunkingConfig())
vectordb = ChromaProvider(ChromaConfig(
    collection_name="json_data",
    vector_size=1536,
    connection=ConnectionConfig(mode=Mode.IN_MEMORY)
))

kb = KnowledgeBase(
    sources=["articles.json"],
    embedding_provider=embedding,
    vectordb=vectordb,
    loaders=[loader],
    splitters=[chunker]
)

# Query with Agent
agent = Agent("anthropic/claude-sonnet-4-5")
task = Task("Find articles about AI", context=[kb])
result = agent.do(task)
print(result)