Chunking Strategies

from praisonaiagents import Agent, KnowledgeConfig

agent = Agent(
    name="Researcher",
    instructions="Answer using retrieved document chunks.",
    knowledge=KnowledgeConfig(sources=["docs/"], chunk_size=500, chunk_overlap=50),
)

agent.start("What does our deployment guide say about Docker?")

from praisonaiagents import Knowledge

knowledge = Knowledge(
    sources=["docs/"],
    chunk_size=500,        # Target chunk size
    chunk_overlap=50,      # Overlap between chunks
    chunking_strategy="semantic"  # Chunking method
)

knowledge = Knowledge(
    sources=["docs/"],
    chunking_strategy="fixed",
    chunk_size=500,
    chunk_overlap=50
)

knowledge = Knowledge(
    sources=["docs/"],
    chunking_strategy="semantic"
)

knowledge = Knowledge(
    sources=["docs/"],
    chunking_strategy="sentence",
    sentences_per_chunk=5
)