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Overview

Text loader processes various text-based files (.txt, .rst, .log, code files, etc.) with options for whitespace handling and content filtering. Simple and efficient for plain text documents. Loader Class: TextLoader Config Class: TextLoaderConfig

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Install

Install the Text loader optional dependency group:
uv pip install "upsonic[text-loader]"

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Examples

from upsonic import Agent, Task, KnowledgeBase
from upsonic.loaders.text import TextLoader
from upsonic.loaders.config import TextLoaderConfig
from upsonic.embeddings import OpenAIEmbedding, OpenAIEmbeddingConfig
from upsonic.text_splitter.recursive import RecursiveChunker, RecursiveChunkingConfig
from upsonic.vectordb import ChromaProvider, ChromaConfig, ConnectionConfig, Mode

# Configure loader
loader_config = TextLoaderConfig(
    strip_whitespace=True,
    min_chunk_length=10
)
loader = TextLoader(loader_config)

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

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

# Query with Agent
agent = Agent("anthropic/claude-sonnet-4-5")
task = Task("Summarize the document", context=[kb])
result = agent.do(task)
print(result)

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Parameters

ParameterTypeDescriptionDefaultSource
encodingstr | NoneFile encoding (auto-detected if None)NoneBase
error_handling"ignore" | "warn" | "raise"How to handle loading errors”warn”Base
include_metadataboolWhether to include file metadataTrueBase
custom_metadatadictAdditional metadata to includeBase
max_file_sizeint | NoneMaximum file size in bytesNoneBase
skip_empty_contentboolSkip documents with empty contentTrueBase
strip_whitespaceboolRemove leading/trailing whitespaceTrueSpecific
min_chunk_lengthintMinimum character length for chunks1Specific