Two coupled changes that together restore non-empty post-migration graph
builds and remove the silent "succeeded but empty" outcome.
Root cause: Config defaulted EMBEDDING_MODEL to OpenAI text-embedding-3-small
(1536 dim), but Graphiti's Neo4j vector index is 1024 dim. With the
documented Dashscope LLM default, EMBEDDING_API_KEY/EMBEDDING_BASE_URL
fell back to LLM_*, producing either a 4xx (since #29 propagates as
Task.FAILED) or a write that landed metadata but no entities.
Changes:
- Flip Config defaults to local Ollama (mxbai-embed-large, 1024 dim,
http://localhost:11434/v1). Override semantics unchanged: explicit
EMBEDDING_* env vars continue to win, so existing OpenAI/Gemini setups
are not affected.
- Gate _build_graph_worker on a non-zero entity-node count before
complete_task. Mirrors the existing _recover_stuck_projects rule;
surfaces any residual silent failure as Task.FAILED with the new
progress.emptyGraphFailure locale key, instead of marking the project
GRAPH_COMPLETED on an empty graph.
- Update README, CLAUDE.md, and docker-compose.yml comments to reflect
Ollama as the active default and OpenAI/Gemini as commented fallbacks.
- The matching .env.example diff is recorded in
.kiro/specs/graph-build-empty-fix/HANDOFF.md for manual operator apply
(file is hook-protected from the assistant).
Spec: .kiro/specs/graph-build-empty-fix/
Closes#37
Background threads (graph building, simulation prep, report generation,
profile generation) now inherit the requesting user's locale preference.
Previously these fell back to 'zh' because Flask request context was
unavailable in spawned threads.
Replaces the paid, rate-limited Zep Cloud service with Graphiti (graphiti-core
0.11.6) backed by a local Neo4j instance — free, unlimited, and self-hosted.
Key changes:
- Add GraphitiAdapter: drop-in Zep-compatible wrapper around Graphiti with a
persistent event-loop thread to avoid asyncio/Neo4j driver conflicts
- Switch LLM client to native GeminiClient + GeminiEmbedder (text-embedding-004
fails on Gemini compat endpoint; use google-genai SDK directly)
- Add _GeminiReranker passthrough replacing OpenAIRerankerClient (which
hardcodes gpt-4.1-nano and uses logprobs unsupported by Gemini)
- Fix Cypher queries: use s.uuid/t.uuid for edge source/target instead of
r.source_node_uuid (null property in Graphiti's schema)
- Add ontology-based entity type classifier (_classify_entity_type) so nodes
get colored by type in the D3 graph visualization instead of all being Entity
- Apply classifier in ZepEntityReader so filter_defined_entities finds entities
(previously 0 personas loaded because all labels were ['Entity'])
- Add startup recovery: auto-mark graph_building projects as graph_completed
on backend restart if Neo4j already has their data
- Add resume capability to graph build: skip already-processed episodes after
a restart (断点续传)
- Add non-blocking graph data cache with background refresh in graph.py
- Add EMBEDDING_MODEL config (default: gemini-embedding-001 for Gemini users)
- Add CLAUDE.md with project architecture and dev commands
Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
- Updated the `get_graph_data` method in `graph_builder.py` to include additional attributes such as creation time, validity periods, and episodes for nodes and edges, improving the richness of the graph data.
- Modified the detail panel in `Process.vue` to present new attributes, including properties, episodes, and timestamps, enhancing user interaction and data visibility.
- Improved styling for the detail panel to better organize and present the comprehensive information for selected nodes and edges.
- Updated `run.py` to conditionally print startup information only in the reloader process to avoid duplicate logs in debug mode.
- Modified `__init__.py` to log startup and completion messages based on the reloader process condition.
- Added warnings suppression in `graph_builder.py` for Pydantic v2 regarding Field usage.
- Revised `ontology_generator.py` to enforce strict design guidelines for entity types and relationships, ensuring compliance with new requirements.
- Improved logging behavior in `logger.py` to prevent log propagation to the root logger, avoiding duplicate outputs.
Dominik Seemann
stg
ghostubborn
Abhishek Yadav
666ghj