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Fix pgvector query parameter type in Postgres hybrid search sample #36

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Fix pgvector query parameter type in Postgres hybrid search sample #36

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2fb3523
Use Vector class for query embedding in search
deril2605 Mar 13, 2026
c6607f6
Refactor query_embedding to use Vector class
deril2605 Mar 14, 2026
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3 changes: 2 additions & 1 deletion examples/agent_knowledge_pg_rewrite.py
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Original file line number Diff line number Diff line change
Expand Up @@ -38,6 +38,7 @@
import psycopg
from openai import OpenAI
from pgvector.psycopg import register_vector
from pgvector import Vector

from agent_framework import Agent, AgentSession, BaseContextProvider, Message, SessionContext, SupportsAgentRun
from agent_framework.openai import OpenAIChatClient
Expand Down Expand Up @@ -305,7 +306,7 @@ async def _rewrite_query(self, conversation_messages: list[Message]) -> str:

def _search(self, query: str) -> list[dict]:
"""Run hybrid search (vector + full-text) and return matching products."""
query_embedding = get_embedding(query)
query_embedding = Vector(get_embedding(query))

cursor = self.conn.execute(
HYBRID_SEARCH_SQL,
Expand Down
3 changes: 2 additions & 1 deletion examples/agent_knowledge_postgres.py
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Original file line number Diff line number Diff line change
Expand Up @@ -34,6 +34,7 @@
import psycopg
from openai import OpenAI
from pgvector.psycopg import register_vector
from pgvector import Vector

from agent_framework import Agent, AgentSession, BaseContextProvider, Message, SessionContext, SupportsAgentRun
from agent_framework.openai import OpenAIChatClient
Expand Down Expand Up @@ -257,7 +258,7 @@ def __init__(self, conn: psycopg.Connection, max_results: int = 3):

def _search(self, query: str) -> list[dict]:
"""Run hybrid search (vector + full-text) and return matching products."""
query_embedding = get_embedding(query)
query_embedding = Vector(get_embedding(query))

cursor = self.conn.execute(
HYBRID_SEARCH_SQL,
Expand Down