Wikipedia KnowledgeBase

Example

Install wikipedia if needed using this guide

knowledge_base.py

from phi.knowledge.wikipedia import WikipediaKnowledgeBase
from phi.vectordb.pgvector import PgVector

from resources import vector_db

knowledge_base = WikipediaKnowledgeBase(
    topics=["Manchester United", "Real Madrid"],
    # Table name: ai.wikipedia_documents
    vector_db=PgVector(
        table_name="wikipedia_documents",
        db_url=vector_db.get_db_connection_local(),
    ),
)

WikipediaKnowledgeBase Params

Parameter	Type	Default	Description
`topics`	`List[str]`	[]	Topics to read

AgentKnowledge Params

WikipediaKnowledgeBase is a subclass of the AgentKnowledge class and has access to the same params

Parameter	Type	Default	Description
`reader`	`Optional[Reader]`	`None`	Reader to read the documents
`vector_db`	`Optional[VectorDb]`	`None`	Vector db to store the knowledge base
`num_documents`	`int`	`2`	Number of relevant documents to return on search
`optimize_on`	`Optional[int]`	`1000`	Number of documents to optimize the vector db on
`driver`	`str`	`"knowledge"`	Driver for the Assistant knowledge

Building Blocks

Command Line

Wikipedia KnowledgeBase

Example

WikipediaKnowledgeBase Params

AgentKnowledge Params

​Example

​WikipediaKnowledgeBase Params

​AgentKnowledge Params

Example

WikipediaKnowledgeBase Params

AgentKnowledge Params