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This PR introduces wide vector and graph structure filtering
capabilities. With these changes, the graph completion retriever and all
retrievers that inherit from it will now filter relevant vector elements
and subgraphs based on the query. This improvement significantly
increases search speed for large graphs while maintaining—and in some
cases slightly improving—accuracy.
Changes in This PR:
-Introduced new wide_search_top_k parameter: Controls the initial search
space size
-Added graph adapter level filtering method: Enables relevant subgraph
filtering while maintaining backward compatibility. For community or
custom graph adapters that don't implement this method, the system
gracefully falls back to the original search behavior.
-Updated modal dashboard and evaluation framework: Fixed compatibility
issues.
Added comprehensive unit tests: Introduced unit tests for
brute_force_triplet_search (previously untested) and expanded the
CogneeGraph test suite.
Integration tests: Existing integration tests verify end-to-end search
functionality (no changes required).
Acceptance Criteria and Testing
To verify the new search behavior, run search queries with different
wide_search_top_k parameters while logging is enabled:
None: Triggers a full graph search (default behavior)
1: Projects a minimal subgraph (demonstrates maximum filtering)
Custom values: Test intermediate levels of filtering
Internal Testing and results:
Performance and accuracy benchmarks are available upon request. The
implementation demonstrates measurable improvements in query latency for
large graphs without sacrificing result quality.
## Type of Change
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- [ ] Bug fix (non-breaking change that fixes an issue)
- [ ] New feature (non-breaking change that adds functionality)
- [ ] Breaking change (fix or feature that would cause existing
functionality to change)
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- [x] Code refactoring
- [x] Performance improvement
- [ ] Other (please specify):
## Screenshots/Videos (if applicable)
None
## Pre-submission Checklist
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issue/feature**
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guidelines
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feature works
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- [x] All new and existing tests pass
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submitted already
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- [x] My commits have clear and descriptive messages
## DCO Affirmation
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the terms of the Topoteretes Developer Certificate of Origin.
---------
Co-authored-by: Pavel Zorin <pazonec@yandex.ru>
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## Description
This PR fixes the failing CI tests related to the new ontology api
endpoint.
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## Type of Change
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feature works
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## Description
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## Type of Change
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## Description
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## Type of Change
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- [ ] New feature (non-breaking change that adds functionality)
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functionality to change)
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- [ ] Other (please specify):
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## Description
This PR resolves#1446 by adding support to upload ontology files and
refer to them in the cognee POST request.
Implementation Details:
- New endpoint: POST /api/v1/ontologies for ontology file upload with a
simple key parameter
that can be referenced in POST cognify requests
- File storage: Ontology files are stored in /tmp/ontologies/{user_id}/
with metadata
management
- New service: OntologyService created for file management and metadata
handling
- Resolver: RDFLibOntologyResolver modified to handle file-like objects.
## Type of Change
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- [X] New feature (non-breaking change that adds functionality)
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## Description
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Create a dedicated CSV ingestion path with a custom loader and custom
chunker that preserves row-column relationships in the produced chunks.
#1348
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## Description
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Added a variable to control which instructor mode we use. The defaults
for each adapter are used, but a user can override this if the set the
`LLM_INSTRUCTOR_MODE` env variable.
## Type of Change
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- [x] New feature (non-breaking change that adds functionality)
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- [ ] Other (please specify):
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Updates crawler test url to avoid blocking and unavailable sites in CI.
## Description
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process and reasoning.
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## Description
This PR should fix the web crawler integration test issue in our CI
## Type of Change
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## Description
Removes `cognee` script entry from the pyproject.toml. This might affect
the MCP server startup.
## Type of Change
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- [ ] New feature (non-breaking change that adds functionality)
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## Description
This prerequisite is not required because `cognee.add()` is invoked in
the `cognify`. This confuses Claude
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## Description
Add deterministic Cognee search test after rel DB migration.
Test gathers all relevant relationships regarding Customers and their
Invoices from relational DB that was migrated and then tries to get the
same results with Cognee search.
## Type of Change
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- [ ] Performance improvement
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## Description
Added Acceptance Criteria to Pull Request template
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- [ ] Performance improvement
- [x] Other (please specify): chore
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I affirm that all code in every commit of this pull request conforms to
the terms of the Topoteretes Developer Certificate of Origin.
