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## Description
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## 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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## DCO Affirmation
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the terms of the Topoteretes Developer Certificate of Origin.
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## Description
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## DCO Affirmation
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the terms of the Topoteretes Developer Certificate of Origin.
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## Description
Add dataset authorization layer
Add pipeline processing status layer
## 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
feature: adds pipeline execution layer to cognify
## 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
feature: adds environment_setup_and_checks general purpose layer to
cognee_pipeline
## 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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## DCO Affirmation
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the terms of the Topoteretes Developer Certificate of Origin.
---------
Co-authored-by: vasilije <vas.markovic@gmail.com>
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## Description
1. Cleans up VectorDB adapters that have been migrated to
`cognee-community` repo
2. Adds async lock protection create_collection method in remaining
VectorDB - ChromaDB
See #1222
## 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 <30923996+dexters1@users.noreply.github.com>
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## Description
Add relational db migration for incremental loading, change incremental
loading to work document per document instead of async together
## DCO Affirmation
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the terms of the Topoteretes Developer Certificate of Origin.
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## Description
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Description
This PR fix graph visualization access for users with read permissions
(https://github.com/topoteretes/cognee/issues/1182)
- Add permission checks for graph visualization endpoints to ensure
users can only access datasets they have permission to view
- Create get_dataset_with_permissions method to validate user access
before returning a dataset
- Remove redundant dataset existence validation in datasets router and
delegate permission checking to graph data retrieval
- Add comprehensive test suite for graph visualization permissions
covering owner access and permission granting scenarios
- Update get_formatted_graph_data() to use dataset owner's ID for
context
## Testing
Tests can be run with:
```bash
pytest -s cognee/tests/test_graph_visualization_permissions.py
```
## 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>
Co-authored-by: Vasilije <8619304+Vasilije1990@users.noreply.github.com>
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## Description
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- Improved list handling, removed `.index` logic from
`get_graph_from_model`, transitioned to fully datapoint-oriented
processing
- Streamlined datapoint iteration by introducing `_datapoints_generator`
with nested loops
- Generalized field processing to handle mixed lists: `[DataPoint,
(Edge, DataPoint), (Edge, [DataPoint])]`, allowing dynamic multiple
edges generation
- Small improvements and refactorings
- Added tests to `test_get_graph_from_model_flexible_edges()` covering
weighted edges and dynamic multiple edges
- Created `dynamic_multiple_edges_example.py` demonstrating dynamic
multiple edges
## 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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## 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>
Co-authored-by: Igor Ilic <igorilic03@gmail.com>
Co-authored-by: Igor Ilic <30923996+dexters1@users.noreply.github.com>
Co-authored-by: Boris <boris@topoteretes.com>
Co-authored-by: Matea Pesic <80577904+matea16@users.noreply.github.com>
Co-authored-by: github-actions[bot] <github-actions@users.noreply.github.com>
Co-authored-by: hajdul88 <52442977+hajdul88@users.noreply.github.com>
Co-authored-by: Boris Arzentar <borisarzentar@gmail.com>
Co-authored-by: Raj Mandhare <96978537+Raj2604@users.noreply.github.com>
Co-authored-by: Pedro Thompson <thompsonp17@hotmail.com>
Co-authored-by: Pedro Henrique Thompson Furtado <pedrothompson@petrobras.com.br>
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## Description
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## DCO Affirmation
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the terms of the Topoteretes Developer Certificate of Origin.
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## Description
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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>
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## Description
Attempt at making incremental loading run async
## 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.
