<!-- .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.
<!-- .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>
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>
<!-- .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: vasilije <vas.markovic@gmail.com>
Co-authored-by: Vasilije <8619304+Vasilije1990@users.noreply.github.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: hajdul88 <52442977+hajdul88@users.noreply.github.com>
Co-authored-by: lxobr <122801072+lxobr@users.noreply.github.com>
Co-authored-by: Igor Ilic <30923996+dexters1@users.noreply.github.com>
Co-authored-by: Hande <159312713+hande-k@users.noreply.github.com>
Co-authored-by: Vasilije <8619304+Vasilije1990@users.noreply.github.com>
<!-- .github/pull_request_template.md -->
## Description
<!-- Provide a clear description of the changes in this PR -->
- Implemented retries when deepeval's evaluation fails
- Updated metric aggregation to ignore Nones
## 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
<!-- 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>
<!-- .github/pull_request_template.md -->
## Description
Adds context extension search
## 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
Adds chain of thought retriever
## 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
Adds dashboard application to parallel modal evals to enable fast
retriever development/evaluation
## 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: lxobr <122801072+lxobr@users.noreply.github.com>
<!-- .github/pull_request_template.md -->
## Description
Adds modal parallel evaluation for retriever development
## 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
Simplify Cognee pipeline usage for users
## 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
<!-- Provide a clear description of the changes in this PR -->
- Extracted run_tasks_base function into a new file run_tasks_base.py.
- Extracted four executors that execute core logic based on the task
type.
- Extracted a task handler/wrapper that safely executes the core logic
with logging and telemetry.
- Fixed the inconsistency with the batches of size 1.
## 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.
Reverts topoteretes/cognee#690
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
<!-- Provide a clear description of the changes in this PR -->
- Fixed get_no_summary_tasks and get_just_chunks_tasks to work with the
new tasks and pipelines
- Chore: fixed the pokemon example to work with the new tasks and
pipelines
## 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
<!-- Provide a clear description of the changes in this PR -->
- Added new graph creation prompts
- Exposed graph creation prompts in .cognify via get_default tasks
- Exposed graph creation prompts in eval framework
## 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: hajdul88 <52442977+hajdul88@users.noreply.github.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.
<!-- .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
<!-- .github/pull_request_template.md -->
## Description
Introducing scructlog.
## 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
<!-- 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
<!-- .github/pull_request_template.md -->
## Description
<!-- Provide a clear description of the changes in this PR -->
- Created get_default_tasks_by_indices to filter default tasks by
specific indices
- Added get_no_summary_tasks function to skip summarization tasks
- Added get_just_chunks_tasks function for chunk extraction and data
points only
- Added NO_SUMMARIES and JUST_CHUNKS to the TaskGetters enum
## 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**
- The evaluation configuration now includes expanded task retrieval
options. Users can choose customized modes that bypass summarization or
focus solely on extracting data chunks, offering a more tailored
evaluation experience.
- Enhanced asynchronous task processing brings increased flexibility and
smoother performance during task selection.
<!-- end of auto-generated comment: release notes by coderabbit.ai -->
<!-- .github/pull_request_template.md -->
## Description
<!-- Provide a clear description of the changes in this PR -->
- Added _filter_instances to BaseBenchmarkAdapter supporting filtering
by IDs, indices, or JSON files.
- Updated HotpotQAAdapter and MusiqueQAAdapter to use the base class
filtering.
- Added instance_filter parameter to corpus builder pipeline.
- Extracted _get_raw_corpus method in both adapters for better code
organization
## 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**
- Corpus loading and building now support a flexible filtering option,
allowing users to apply custom criteria to tailor the retrieved data.
- **Refactor**
- The extraction process has been reorganized to separately handle text
content and associated metadata, enhancing clarity and overall workflow
efficiency.
<!-- end of auto-generated comment: release notes by coderabbit.ai -->
<!-- .github/pull_request_template.md -->
## Description
<!-- Provide a clear description of the changes in this PR -->
- Exposed chunk_size in get_default_tasks in cognify
- Reintegrated chunk_size in corpus building in eval framework
## 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**
- Introduced an optional configuration parameter to allow users to set
custom processing segment sizes. This enhances flexibility in managing
content processing and task execution, enabling more dynamic control
over resource handling during corpus creation and related operations.
<!-- end of auto-generated comment: release notes by coderabbit.ai -->
<!-- .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
<!-- This is an auto-generated comment: release notes by coderabbit.ai
-->
## Summary by CodeRabbit
- **Refactor**
- Simplified text processing by unifying multiple size-related
parameters into a single metric across chunking and extraction
functionalities.
- Streamlined logic for text segmentation by removing redundant
calculations and checks, resulting in a more consistent chunk management
process.
- **Chores**
- Removed the `modal` package as a dependency.
- **Documentation**
- Updated the README.md to include a new demo video link and clarified
default environment variable settings.
- Enhanced the CONTRIBUTING.md to improve clarity and engagement for
potential contributors.
- **Bug Fixes**
- Improved handling of sentence-ending punctuation in text processing to
include additional characters.
- **Version Update**
- Updated project version to 0.1.33 in the pyproject.toml file.
<!-- end of auto-generated comment: release notes by coderabbit.ai -->
<!-- .github/pull_request_template.md -->
## Description
- Compare retrieved context to golden context using deepeval's
summarization metric
- Display relevant fields to each metric on metrics dashboard
Example output:
## 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**
- Enhanced context handling in answer generation and corpus building to
include extended details.
- Introduced a new context coverage metric for deeper evaluation
insights.
- Upgraded the evaluation dashboard with dynamic presentation of metric
details.
- Added a new parameter to support loading golden context in corpus
loading methods.
- **Bug Fixes**
- Improved clarity in how answers are structured and appended in the
answer generation process.
<!-- end of auto-generated comment: release notes by coderabbit.ai -->
<!-- .github/pull_request_template.md -->
## Description
<!-- Provide a clear description of the changes in this PR -->
- Expose top_k as an optional argument of run_question_answering
- Update retrievers to handle the parameters
## 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**
- Enhanced answer generation and document retrieval capabilities by
introducing an optional parameter that allows users to specify the
number of top results. This improvement adds flexibility when retrieving
question responses and associated context, adapting the output based on
user preference.
<!-- end of auto-generated comment: release notes by coderabbit.ai -->
<!-- .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
<!-- This is an auto-generated comment: release notes by coderabbit.ai
-->
## Summary by CodeRabbit
- **New Features**
- Introduced a class-based retrieval mechanism to enhance answer
generation with improved context extraction and completion.
- Added a new evaluation metric for contextual relevancy and an option
to enable context evaluation during the evaluation process.
- **Refactor**
- Transitioned from a function-based answer resolver to a more modular
retriever approach to improve extensibility.
- **Tests**
- Updated tests to align with the new answer generation and evaluation
process.
<!-- end of auto-generated comment: release notes by coderabbit.ai -->
---------
Co-authored-by: lxobr <122801072+lxobr@users.noreply.github.com>
Co-authored-by: coderabbitai[bot] <136622811+coderabbitai[bot]@users.noreply.github.com>
Co-authored-by: Daniel Molnar <soobrosa@gmail.com>
Co-authored-by: Boris <boris@topoteretes.com>
…l to avoid additional params
<!-- .github/pull_request_template.md -->
Introduces lambda currying in question answering non parallel function
to avoid unnecessary params
## 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
- **Refactor**
- Streamlined the question-answering process for cleaner, more efficient
query handling.
- Updated the handling of parameters in the answer generation process,
allowing for a more dynamic integration of context.
- Simplified test setups by reducing the number of parameters involved
in the mock answer resolver.
<!-- end of auto-generated comment: release notes by coderabbit.ai -->
<!-- .github/pull_request_template.md -->
## Description
This PR contains eval framework changes due to the autooptimizer
integration
## 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**
- Enhanced answer generation now returns structured answer details.
- Search functionality accepts configurable prompt inputs.
- Option to generate a metrics dashboard from evaluations.
- Corpus building tasks now support adjustable chunk settings for
greater flexibility.
- New task retrieval functionality allows for flexible task
configuration.
- Introduced new methods for creating and managing metrics dashboards.
- **Refactor/Chore**
- Streamlined API signatures and reorganized module interfaces for
better consistency.
- Updated import paths to reflect new module structure.
- **Tests**
- Updated test scenarios to align with new configurations and parameter
adjustments.
<!-- end of auto-generated comment: release notes by coderabbit.ai -->
