Isolate Vector Search

from agno.knowledge.knowledge import Knowledge
from agno.vectordb.pgvector import PgVector

vector_db = PgVector(
    table_name="shared_vectors",
    db_url="postgresql+psycopg://ai:ai@localhost:5532/ai",
)

# Only returns results from documents this instance inserted
knowledge = Knowledge(
    name="support-docs",
    vector_db=vector_db,
    isolate_vector_search=True,
)

from agno.agent import Agent
from agno.knowledge.knowledge import Knowledge
from agno.vectordb.pgvector import PgVector

vector_db = PgVector(
    table_name="shared_vectors",
    db_url="postgresql+psycopg://ai:ai@localhost:5532/ai",
)

# Two knowledge instances sharing the same vector database
hr_knowledge = Knowledge(
    name="hr-docs",
    vector_db=vector_db,
    isolate_vector_search=True,
)

engineering_knowledge = Knowledge(
    name="engineering-docs",
    vector_db=vector_db,
    isolate_vector_search=True,
)

# Insert into each instance
hr_knowledge.insert(path="hr-policies/")
engineering_knowledge.insert(path="engineering-docs/")

# This agent only searches HR documents
hr_agent = Agent(knowledge=hr_knowledge, search_knowledge=True)

# This agent only searches engineering documents
eng_agent = Agent(knowledge=engineering_knowledge, search_knowledge=True)

# Dict-based filters: linked_to is merged automatically
results = hr_knowledge.search(
    query="vacation policy",
    filters={"department": "legal"},
)
# Searches for: linked_to="hr-docs" AND department="legal"

# List-based filters (FilterExpr): linked_to is also injected automatically
from agno.filters import EQ

results = hr_knowledge.search(
    query="vacation policy",
    filters=[EQ("department", "legal")],
)
# Searches for: linked_to="hr-docs" AND department="legal"

from agno.db.postgres import PostgresDb
from agno.knowledge.knowledge import Knowledge
from agno.vectordb.pgvector import PgVector

contents_db = PostgresDb(
    db_url="postgresql+psycopg://ai:ai@localhost:5532/ai",
    knowledge_table="knowledge_contents",
)

vector_db = PgVector(
    table_name="shared_vectors",
    db_url="postgresql+psycopg://ai:ai@localhost:5532/ai",
)

# These two instances will conflict because they share the same
# name, contents_db, and table
knowledge_a = Knowledge(
    name="my-docs",
    contents_db=contents_db,
    vector_db=vector_db,
)

knowledge_b = Knowledge(
    name="my-docs",          # same name
    contents_db=contents_db,  # same database and table
    vector_db=vector_db,
)
# Registering both with an AgentOS raises at startup:
# ValueError: Duplicate knowledge instances detected