Example
knowledge_base.py
CombinedKnowledgeBase Params
AgentKnowledge Params
CombinedKnowledgeBase is a subclass of the AgentKnowledge class and has access to the same params
Documentation Index
Fetch the complete documentation index at: /llms.txt
Use this file to discover all available pages before exploring further.
from phi.knowledge.combined import CombinedKnowledgeBase
from phi.vectordb.pgvector import PgVector
from resources import vector_db
knowledge_base = CombinedKnowledgeBase(
sources=[
url_pdf_knowledge_base,
website_knowledge_base,
local_pdf_knowledge_base,
],
vector_db=PgVector(
# Table name: llm.combined_documents
table_name="combined_documents",
db_url=vector_db.get_db_connection_local(),
),
)
| Parameter | Type | Default | Description |
|---|---|---|---|
sources | List[AgentKnowledge] | [] | List of knowledge bases. |
CombinedKnowledgeBase 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 |
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