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## Description
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Please provide a clear, human-generated description of the changes in
this PR.
DO NOT use AI-generated descriptions. We want to understand your thought
process and reasoning.
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This PR removes codify, and the code graph pipeline, out of the
repository. It also introduces a Custom Pipeline interface, which can be
used in the future to define custom pipelines.
## Type of Change
<!-- Please check the relevant option -->
- [ ] 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)
- [ ] Documentation update
- [x] Code refactoring
- [ ] Performance improvement
- [ ] Other (please specify):
## Screenshots/Videos (if applicable)
<!-- Add screenshots or videos to help explain your changes -->
## Pre-submission Checklist
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- [ ] **I have tested my changes thoroughly before submitting this PR**
- [ ] **This PR contains minimal changes necessary to address the
issue/feature**
- [ ] My code follows the project's coding standards and style
guidelines
- [ ] I have added tests that prove my fix is effective or that my
feature works
- [ ] I have added necessary documentation (if applicable)
- [ ] All new and existing tests pass
- [ ] I have searched existing PRs to ensure this change hasn't been
submitted already
- [ ] I have linked any relevant issues in the description
- [ ] My commits have clear and descriptive messages
## DCO Affirmation
I affirm that all code in every commit of this pull request conforms to
the terms of the Topoteretes Developer Certificate of Origin.
<!-- .github/pull_request_template.md -->
## Description
This PR introduces triplet embeddings via a new
create_triplet_embeddings memify pipeline.
The pipeline reads the graph in batches, extracts properties from graph
elements based on their datapoint types, and generates combined triplet
embeddings. These embeddings are stored in the vector database as a new
collection.
Changes in This PR:
-Added a new create_triplet_embeddings memify pipeline.
-Added a new get_triplet_datapoints memify task.
-Introduced a new triplet_completion search type.
-Added full test coverage
--Unit tests: memify task, pipeline, and retriever
--Integration tests: memify task, pipeline, and retriever
--End-to-end tests: updated session history tests and multi-DB search
tests; added tests for triplet_completion and memify pipeline execution
Acceptance Criteria and Testing
Scenario 1:
-Run default add, cognify pipelines
-Run create triplet embeddings memify pipeline
-Verify the vector DB contains a non empty Triplet_text collection.
-Use the new triplet_completion search type and confirm it works
correctly.
Scenario 2:
-Run the default add and cognify pipelines.
-Do not run the triplet embeddings memify pipeline.
-Attempt to use the triplet_completion search type.
-You should receive an error indicating that the triplet embeddings
memify pipeline must be executed first.
## Type of Change
<!-- Please check the relevant option -->
- [ ] Bug fix (non-breaking change that fixes an issue)
- [x] New feature (non-breaking change that adds functionality)
- [ ] Breaking change (fix or feature that would cause existing
functionality to change)
- [ ] Documentation update
- [ ] Code refactoring
- [ ] Performance improvement
- [ ] Other (please specify):
## Screenshots/Videos (if applicable)
<!-- Add screenshots or videos to help explain your changes -->
## Pre-submission Checklist
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- [x] **I have tested my changes thoroughly before submitting this PR**
- [x] **This PR contains minimal changes necessary to address the
issue/feature**
- [x] My code follows the project's coding standards and style
guidelines
- [x] I have added tests that prove my fix is effective or that my
feature works
- [x] I have added necessary documentation (if applicable)
- [x] All new and existing tests pass
- [x] I have searched existing PRs to ensure this change hasn't been
submitted already
- [x] I have linked any relevant issues in the description
- [x] My commits have clear and descriptive messages
## DCO Affirmation
I affirm that all code in every commit of this pull request conforms to
the terms of the Topoteretes Developer Certificate of Origin.
<!-- This is an auto-generated comment: release notes by coderabbit.ai
-->
## Summary by CodeRabbit
* **New Features**
* Triplet-based search with LLM-powered completions (TRIPLET_COMPLETION)
* Batch triplet retrieval and a triplet embeddings pipeline for
extraction, indexing, and optional background processing
* Context retrieval from triplet embeddings with optional caching and
conversation-history support
* New Triplet data type exposed for indexing and search
* **Examples**
* End-to-end example demonstrating triplet embeddings extraction and
TRIPLET_COMPLETION search
* **Tests**
* Unit and integration tests covering triplet extraction, retrieval,
embedding pipeline, and completion flows
<sub>✏️ Tip: You can customize this high-level summary in your review
settings.</sub>
<!-- end of auto-generated comment: release notes by coderabbit.ai -->
---------
Co-authored-by: Pavel Zorin <pazonec@yandex.ru>
<!-- .github/pull_request_template.md -->
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
<!-- Please check the relevant option -->
- [ ] 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)
- [ ] Documentation update
- [x] Code refactoring
- [x] Performance improvement
- [ ] Other (please specify):
## Screenshots/Videos (if applicable)
None
## Pre-submission Checklist
<!-- Please check all boxes that apply before submitting your PR -->
- [x] **I have tested my changes thoroughly before submitting this PR**
- [x] **This PR contains minimal changes necessary to address the
issue/feature**
- [x] My code follows the project's coding standards and style
guidelines
- [x] I have added tests that prove my fix is effective or that my
feature works
- [x] I have added necessary documentation (if applicable)
- [x] All new and existing tests pass
- [x] I have searched existing PRs to ensure this change hasn't been
submitted already
- [x] I have linked any relevant issues in the description
- [x] My commits have clear and descriptive messages
## DCO Affirmation
I affirm that all code in every commit of this pull request conforms to
the terms of the Topoteretes Developer Certificate of Origin.
---------
Co-authored-by: Pavel Zorin <pazonec@yandex.ru>
<!-- .github/pull_request_template.md -->
## Description
Adds new tenant id (if available) to telemetry packages for basic cognee
operations
## Type of Change
<!-- Please check the relevant option -->
- [ ] 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)
- [ ] Documentation update
- [x] Code refactoring
- [ ] Performance improvement
- [ ] Other (please specify):
## Screenshots/Videos (if applicable)
<!-- Add screenshots or videos to help explain your changes -->
## Pre-submission Checklist
<!-- Please check all boxes that apply before submitting your PR -->
- [x] **I have tested my changes thoroughly before submitting this PR**
- [x] **This PR contains minimal changes necessary to address the
issue/feature**
- [x] My code follows the project's coding standards and style
guidelines
- [x] I have added tests that prove my fix is effective or that my
feature works
- [x] I have added necessary documentation (if applicable)
- [x] All new and existing tests pass
- [x] I have searched existing PRs to ensure this change hasn't been
submitted already
- [x] I have linked any relevant issues in the description
- [x] My commits have clear and descriptive messages
## DCO Affirmation
I affirm that all code in every commit of this pull request conforms to
the terms of the Topoteretes Developer Certificate of Origin.
<!-- .github/pull_request_template.md -->
## Description
Unified dataset resolution mechanisms across cognee
## Type of Change
<!-- Please check the relevant option -->
- [ ] 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)
- [ ] Documentation update
- [x] Code refactoring
- [ ] Performance improvement
- [ ] Other (please specify):
## Pre-submission Checklist
<!-- Please check all boxes that apply before submitting your PR -->
- [ ] **I have tested my changes thoroughly before submitting this PR**
- [ ] **This PR contains minimal changes necessary to address the
issue/feature**
- [ ] My code follows the project's coding standards and style
guidelines
- [ ] I have added tests that prove my fix is effective or that my
feature works
- [ ] I have added necessary documentation (if applicable)
- [ ] All new and existing tests pass
- [ ] I have searched existing PRs to ensure this change hasn't been
submitted already
- [ ] I have linked any relevant issues in the description
- [ ] My commits have clear and descriptive messages
## DCO Affirmation
I affirm that all code in every commit of this pull request conforms to
the terms of the Topoteretes Developer Certificate of Origin.
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## Description
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this PR.
DO NOT use AI-generated descriptions. We want to understand your thought
process and reasoning.
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I Implemented Lexical Chunk Retriever In the LexicalRetriever class is
Inherite the BaseRetriever and The DocumentChunk are lazy loaded when
first time query is made because it save time during object
initialization
and the function get_context and the get_completion are Implemented same
as the ChunksRetriever the only diffrence is that the DocumentChunk are
converted to match the output type of the ChunksRetriever using function
get_own_properties in the utils.
## Type of Change
<!-- Please check the relevant option -->
- [-] 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)
- [-] Documentation update
- [-] Code refactoring
- [-] Performance improvement
- [-] Other (please specify):
## Changes Made
<!-- List the specific changes made in this PR -->
- Added LexicalRetriever base class with customizable tokenizer & scorer
- Implemented caching of DocumentChunk tokens and payloads
- Added robust initialization with error handling and logging -
Implemented get_context with top_k ranking and optional scores
- Implemented get_completion consistent with BaseRetriever interface
- Added JaccardChunksRetriever demo using set/multiset Jaccard
similarity
- Support for stopwords and multiset frequency-aware similarity -
Integrated logging for initialization, scoring, and retrieval
## Testing
- Manual tests: initialized retriever, retrieved chunks with toy corpus
- Edge cases: empty corpus, empty query, scorer/tokenizer errors
- Verified Jaccard similarity results for single/multiset cases
- Code formatted and linted
## Screenshots/Videos (if applicable)
<!-- Add screenshots or videos to help explain your changes -->
## Pre-submission Checklist
<!-- Please check all boxes that apply before submitting your PR -->
- [-] **I have tested my changes thoroughly before submitting this PR**
- [-] **This PR contains minimal changes necessary to address the
issue/feature**
- [-] My code follows the project's coding standards and style
guidelines
- [-] I have added tests that prove my fix is effective or that my
feature works
- [-] I have added necessary documentation (if applicable)
- [-] All new and existing tests pass
- [-] I have searched existing PRs to ensure this change hasn't been
submitted already
- [-] I have linked any relevant issues in the description
- [-] My commits have clear and descriptive messages
## Related Issues
<!-- Link any related issues using "Fixes #issue_number" or "Relates to
#issue_number" -->
Relates to #1392
## Additional Notes
<!-- Add any additional notes, concerns, or context for reviewers -->
Int the cognee/modules/chunking/models/DocumentChunk.py
don't remove the optional from is_part_of attributes.
## DCO Affirmation
I affirm that all code in every commit of this pull request conforms to
the terms of the Topoteretes Developer Certificate of Origin.
---------
Co-authored-by: Andrej Milicevic <milicevicandrej@yahoo.com>
Co-authored-by: Igor Ilic <30923996+dexters1@users.noreply.github.com>
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<!-- .github/pull_request_template.md -->
## Description
Make Cypher search optional
## Type of Change
<!-- Please check the relevant option -->
- [ ] 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)
- [ ] Documentation update
- [ ] Code refactoring
- [ ] Performance improvement
- [x] Other (please specify):
Security upgrade
## Changes Made
Made cypher search optional for security reasons
## Testing
Tried running cypher queries with feature turned on and off
## Screenshots/Videos (if applicable)
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## Pre-submission Checklist
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- [ ] **I have tested my changes thoroughly before submitting this PR**
- [ ] **This PR contains minimal changes necessary to address the
issue/feature**
- [ ] My code follows the project's coding standards and style
guidelines
- [ ] I have added tests that prove my fix is effective or that my
feature works
- [ ] I have added necessary documentation (if applicable)
- [ ] All new and existing tests pass
- [ ] I have searched existing PRs to ensure this change hasn't been
submitted already
- [ ] I have linked any relevant issues in the description
- [ ] My commits have clear and descriptive messages
## Related Issues
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#issue_number" -->
## Additional Notes
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## DCO Affirmation
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## Description
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## Type of Change
<!-- Please check the relevant option -->
- [x] 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)
- [ ] Documentation update
- [ ] Code refactoring
- [ ] Performance improvement
- [ ] Other (please specify):
## Changes Made
<!-- List the specific changes made in this PR -->
-
-
-
## Testing
<!-- Describe how you tested your changes -->
## Screenshots/Videos (if applicable)
<!-- Add screenshots or videos to help explain your changes -->
## Pre-submission Checklist
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- [x] **I have tested my changes thoroughly before submitting this PR**
- [x] **This PR contains minimal changes necessary to address the
issue/feature**
- [x] My code follows the project's coding standards and style
guidelines
- [x] I have added tests that prove my fix is effective or that my
feature works
- [x] I have added necessary documentation (if applicable)
- [x] All new and existing tests pass
- [x] I have searched existing PRs to ensure this change hasn't been
submitted already
- [x] I have linked any relevant issues in the description
- [x] My commits have clear and descriptive messages
## Related Issues
<!-- Link any related issues using "Fixes #issue_number" or "Relates to
#issue_number" -->
## Additional Notes
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## DCO Affirmation
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<!-- .github/pull_request_template.md -->
## Description
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process and reasoning.
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## Type of Change
<!-- Please check the relevant option -->
- [ ] 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)
- [ ] Documentation update
- [ ] Code refactoring
- [ ] Performance improvement
- [ ] Other (please specify):
## Changes Made
<!-- List the specific changes made in this PR -->
-
-
-
## Testing
<!-- Describe how you tested your changes -->
## Screenshots/Videos (if applicable)
<!-- Add screenshots or videos to help explain your changes -->
## Pre-submission Checklist
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- [ ] **I have tested my changes thoroughly before submitting this PR**
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- [ ] My code follows the project's coding standards and style
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- [ ] I have added tests that prove my fix is effective or that my
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- [ ] I have added necessary documentation (if applicable)
- [ ] All new and existing tests pass
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- [ ] I have linked any relevant issues in the description
- [ ] My commits have clear and descriptive messages
## Related Issues
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## Additional Notes
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## Description
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## Description
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## DCO Affirmation
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the terms of the Topoteretes Developer Certificate of Origin.
---------
Co-authored-by: Daulet Amirkhanov <damirkhanov01@gmail.com>
<!-- .github/pull_request_template.md -->
## Description
<!-- Provide a clear description of the changes in this PR -->
## DCO Affirmation
I affirm that all code in every commit of this pull request conforms to
the terms of the Topoteretes Developer Certificate of Origin.
---------
Signed-off-by: Raj2604 <rajmandhare26@gmail.com>
Co-authored-by: Daulet Amirkhanov <damirkhanov01@gmail.com>
Co-authored-by: Hande <159312713+hande-k@users.noreply.github.com>
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<!-- .github/pull_request_template.md -->
## Description
<!-- Provide a clear description of the changes in this PR -->
This PR implements the 'FEELING_LUCKY' search type, which intelligently
routes user queries to the most appropriate search retriever, addressing
[#1162](https://github.com/topoteretes/cognee/issues/1162).
- implement new search type FEELING_LUCKY
- Add the select_search_type function to analyze queries and choose the
proper search type
- Integrate with an LLM for intelligent search type determination
- Add logging for the search type selection process
- Support fallback to RAG_COMPLETION when the LLM selection fails
- Add tests for the new search type
## How it works
When a user selects the 'FEELING_LUCKY' search type, the system first
sends their natural language query to an LLM-based classifier. This
classifier analyzes the query's intent (e.g., is it asking for a
relationship, a summary, or a factual answer?) and selects the optimal
SearchType, such as 'INSIGHTS' or 'GRAPH_COMPLETION'. The main search
function then proceeds using this dynamically selected type. If the
classification process fails, it gracefully falls back to the default
'RAG_COMPLETION' type.
## Testing
Tests can be run with:
```bash
python -m pytest cognee/tests/unit/modules/search/search_methods_test.py -k "feeling_lucky" -v
```
## DCO Affirmation
I affirm that all code in every commit of this pull request conforms to
the terms of the Topoteretes Developer Certificate of Origin.
Signed-off-by: EricXiao <taoiaox@gmail.com>
<!-- .github/pull_request_template.md -->
## Description
Add tests for permissions for Cognee
## DCO Affirmation
I affirm that all code in every commit of this pull request conforms to
the terms of the Topoteretes Developer Certificate of Origin.
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## Description
<!-- Provide a clear description of the changes in this PR -->
## DCO Affirmation
I affirm that all code in every commit of this pull request conforms to
the terms of the Topoteretes Developer Certificate of Origin.
---------
Co-authored-by: Igor Ilic <igorilic03@gmail.com>
<!-- .github/pull_request_template.md -->
## Description
<!-- Provide a clear description of the changes in this PR -->
## DCO Affirmation
I affirm that all code in every commit of this pull request conforms to
the terms of the Topoteretes Developer Certificate of Origin.
---------
Co-authored-by: Boris Arzentar <borisarzentar@gmail.com>
Co-authored-by: Boris <boris@topoteretes.com>
