Text KnowledgeBase

Example

Install textract if needed using this guide

knowledge_base.py

from phi.knowledge.text import TextKnowledgeBase
from phi.vectordb.pgvector import PgVector

from resources import vector_db

knowledge_base = TextKnowledgeBase(
    path="data/docs",
    # Table name: ai.text_documents
    vector_db=PgVector(
        table_name="text_documents",
        db_url=vector_db.get_db_connection_local(),
    ),
)

TextKnowledgeBase Params

Parameter	Type	Default	Description
`path`	`Union[str, Path]`	-	Path to text files. Can point to a single text file or a directory of text files.
`formats`	`List[str]`	`[".txt"]`	Formats accepted by this knowledge base.
`reader`	`TextReader`	`TextReader()`	A `TextReader` that converts the text files into `Documents` for the vector database.

AgentKnowledge Params

TextKnowledgeBase 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

Text KnowledgeBase

Example

TextKnowledgeBase Params

AgentKnowledge Params

​Example

​TextKnowledgeBase Params

​AgentKnowledge Params

Example

TextKnowledgeBase Params

AgentKnowledge Params