Stale Query Results from Eventual Consistency
infoChroma may exhibit eventual consistency behavior where recently added/updated vectors are not immediately reflected in query results. This occurs due to buffering, async persistence, or HNSW index update delays. Applications expecting read-your-writes consistency may observe missing or outdated results immediately after write operations.
Queries executed immediately after add/update operations return results inconsistent with written data. Recently added documents missing from queries. Updated metadata not reflected in filter results. Consistency improves after short delay (seconds to minutes).
1. Assess requirements: Determine if application truly needs strong consistency or if eventual consistency is acceptable. Most RAG applications tolerate eventual consistency. 2. Implement retry: For read-your-writes scenarios, add short delay or retry logic after writes before critical queries. 3. Use collection.get() by ID: Retrieving by ID may have stronger consistency than similarity search. Verify specific item presence after write. 4. Wait for persistence: Check if Chroma provides explicit flush/sync API. Some configurations may allow forcing persistence. 5. Document behavior: Inform application developers of consistency model. Design flows to avoid immediate read-after-write dependencies. 6. Monitor: Track consistency lag metrics if available. Alert if lag exceeds expected thresholds.