Skip to content

fix set statement in probes #365

New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

Sign up for GitHub

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

Merged
Adityav369 merged 1 commit into from
Jan 27, 2026
Merged

fix set statement in probes #365

Show file tree
Hide file tree
Changes from all commits
Commits
Show all changes
1 commit
Select commit
File filter

Filter by extension

Filter by extension
Conversations
Failed to load comments.
Loading
Jump to
Jump to file
Failed to load files.
Loading
Diff view
Diff view
6 changes: 4 additions & 2 deletions core/vector_store/chunk_v2_store.py
View file
Open in desktop
Original file line number Diff line number Diff line change
Expand Up @@ -399,8 +399,10 @@ async def query_similar(
)

async with self.get_session_with_retry() as session:
# PostgreSQL SET doesn't support parameterized values; safe since ivfflat_probes is a validated int
await session.execute(text(f"SET LOCAL ivfflat.probes = {self.ivfflat_probes}"))
# Use set_config() for parameterized config - SET doesn't support parameters
await session.execute(
text("SELECT set_config('ivfflat.probes', :probes, true)"), {"probes": str(self.ivfflat_probes)}
)
result = await session.execute(query)
rows = result.all()

Expand Down
6 changes: 4 additions & 2 deletions core/vector_store/pgvector_store.py
View file
Open in desktop
Original file line number Diff line number Diff line change
Expand Up @@ -458,8 +458,10 @@ async def query_similar(
"""
try:
async with self.get_session_with_retry() as session:
# PostgreSQL SET doesn't support parameterized values; safe since ivfflat_probes is a validated int
await session.execute(text(f"SET LOCAL ivfflat.probes = {self.ivfflat_probes}"))
# Use set_config() for parameterized config - SET doesn't support parameters
await session.execute(
text("SELECT set_config('ivfflat.probes', :probes, true)"), {"probes": str(self.ivfflat_probes)}
)
# Build query with cosine distance calculation, which is normalized to [0, 2].
# A distance of 0 is perfect similarity.
distance = VectorEmbedding.embedding.op("<=>")(query_embedding)
Expand Down
Loading