gmakstutis/graphiti
1
0
Fork 0
Code Issues Pull requests Projects Releases Packages Wiki Activity Actions

Fix: Search methods configuration ignored (#788) (#829)

Browse source 
fix: respect search_methods configuration in edge_search and node_search

The search functions were ignoring the configured search_methods and
always executing all three methods (BM25, cosine similarity, and BFS).
This was causing unnecessary performance overhead - running 3x the
required computations when users only wanted specific search methods.

Now the functions build search tasks dynamically based on what's
actually configured in search_methods, only executing the requested
search algorithms.

This should significantly improve performance when users need only
specific search methods. Would appreciate your review on this approach\!

Fixes #788
This commit is contained in:
Cklee 2025-08-14 00:56:20 +09:00 • committed by GitHub
parent 708d30cd6a
commit 506bc4fc98
No known key found for this signature in database
GPG key ID: B5690EEEBB952194
1 changed files with 63 additions and 41 deletions
Show stats Download patch file Download diff file Expand all files Collapse all files

104
graphiti_core/search/search.py
View file

@ -177,31 +177,42 @@ async def edge_search(
) -> tuple[list[EntityEdge], list[float]]:
if config is None:
return [], []
search_results: list[list[EntityEdge]] = list(
await semaphore_gather(
*[
edge_fulltext_search(driver, query, search_filter, group_ids, 2 * limit),
edge_similarity_search(
driver,
query_vector,
None,
None,
search_filter,
group_ids,
2 * limit,
config.sim_min_score,
),
edge_bfs_search(
driver,
bfs_origin_node_uuids,
config.bfs_max_depth,
search_filter,
group_ids,
2 * limit,
),
]
# Build search tasks based on configured search methods
search_tasks = []
if EdgeSearchMethod.bm25 in config.search_methods:
search_tasks.append(
edge_fulltext_search(driver, query, search_filter, group_ids, 2 * limit)
)
)
if EdgeSearchMethod.cosine_similarity in config.search_methods:
search_tasks.append(
edge_similarity_search(
driver,
query_vector,
None,
None,
search_filter,
group_ids,
2 * limit,
config.sim_min_score,
)
)
if EdgeSearchMethod.bfs in config.search_methods:
search_tasks.append(
edge_bfs_search(
driver,
bfs_origin_node_uuids,
config.bfs_max_depth,
search_filter,
group_ids,
2 * limit,
)
)
# Execute only the configured search methods
search_results: list[list[EntityEdge]] = []
if search_tasks:
search_results = list(await semaphore_gather(*search_tasks))
if EdgeSearchMethod.bfs in config.search_methods and bfs_origin_node_uuids is None:
source_node_uuids = [edge.source_node_uuid for result in search_results for edge in result]
@ -289,24 +300,35 @@ async def node_search(
) -> tuple[list[EntityNode], list[float]]:
if config is None:
return [], []
search_results: list[list[EntityNode]] = list(
await semaphore_gather(
*[
node_fulltext_search(driver, query, search_filter, group_ids, 2 * limit),
node_similarity_search(
driver, query_vector, search_filter, group_ids, 2 * limit, config.sim_min_score
),
node_bfs_search(
driver,
bfs_origin_node_uuids,
search_filter,
config.bfs_max_depth,
group_ids,
2 * limit,
),
]
# Build search tasks based on configured search methods
search_tasks = []
if NodeSearchMethod.bm25 in config.search_methods:
search_tasks.append(
node_fulltext_search(driver, query, search_filter, group_ids, 2 * limit)
)
)
if NodeSearchMethod.cosine_similarity in config.search_methods:
search_tasks.append(
node_similarity_search(
driver, query_vector, search_filter, group_ids, 2 * limit, config.sim_min_score
)
)
if NodeSearchMethod.bfs in config.search_methods:
search_tasks.append(
node_bfs_search(
driver,
bfs_origin_node_uuids,
search_filter,
config.bfs_max_depth,
group_ids,
2 * limit,
)
)
# Execute only the configured search methods
search_results: list[list[EntityNode]] = []
if search_tasks:
search_results = list(await semaphore_gather(*search_tasks))
if NodeSearchMethod.bfs in config.search_methods and bfs_origin_node_uuids is None:
origin_node_uuids = [node.uuid for result in search_results for node in result]