Docx KnowledgeBase - Phidata

Example

knowledge_base.py

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

from resources import vector_db

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

DocxKnowledgeBase Params

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

AgentKnowledge Params

DocxKnowledgeBase 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