Recursive Chunking Params
| Parameter | Type | Default | Description |
|---|---|---|---|
chunk_size | int | 5000 | The maximum size of each chunk. |
overlap | int | 0 | The number of characters to overlap between chunks. |
Documentation Index
Fetch the complete documentation index at: /llms.txt
Use this file to discover all available pages before exploring further.
You are viewing v1 docs. For the latest documentation, visit docs.agno.com
from agno.agent import Agent
from agno.document.chunking.recursive import RecursiveChunking
from agno.knowledge.pdf_url import PDFUrlKnowledgeBase
from agno.vectordb.pgvector import PgVector
db_url = "postgresql+psycopg://ai:ai@localhost:5532/ai"
knowledge_base = PDFUrlKnowledgeBase(
urls=["https://agno-public.s3.amazonaws.com/recipes/ThaiRecipes.pdf"],
vector_db=PgVector(table_name="recipes_recursive_chunking", db_url=db_url),
chunking_strategy=RecursiveChunking(),
)
knowledge_base.load(recreate=False) # Comment out after first run
agent = Agent(
knowledge_base=knowledge_base,
search_knowledge=True,
)
agent.print_response("How to make Thai curry?", markdown=True)
| Parameter | Type | Default | Description |
|---|---|---|---|
chunk_size | int | 5000 | The maximum size of each chunk. |
overlap | int | 0 | The number of characters to overlap between chunks. |
Was this page helpful?