Configuration of a timeout parameter is possible. defaults to 1h.

* feat: Update langfuse dependency to version 3.0.0 and adjust related imports

- Updated langfuse version in pyproject.toml and poetry.lock files.
- Modified import statements in langfuse_ragas_evaluator.py to reflect new package structure.
- Adjusted langfuse_manager.py to use labels instead of is_active for prompt management.
- Refactored langfuse_traced_chain.py to utilize the new CallbackHandler import.
- Enhanced traced_chain.py to initialize langfuse client and update tracing logic.

* Add comprehensive tests for PDFExtractor functionality

- Introduced test suite for enhanced PDF extraction capabilities in `test_enhanced_pdfs.py`.
- Created new test files for various PDF types including text-based, mixed content, and scanned documents.
- Implemented detailed tests for PDFExtractor's classification, extraction, and linking functionalities in `test_pdf_extractorv2_new.py`.
- Added quick functionality verification tests in `test_pdf_functionality.py` to ensure correct operation with real PDF files.
- Established mock classes and fixtures to facilitate unit testing of PDF extraction methods.

* feat: Update dependencies and modify PDF extractor import

- Added a new source for PyTorch and its related packages with CPU support in pyproject.toml.
- Included additional dependencies: camelot-py, tabula, and easyocr.
- Changed the import statement for PDFExtractor to use the new version (pdf_extractorv2) in dependency_container.py.

* feat: add pytest-asyncio support for asynchronous testing

* Refactor PDF extractor tests: remove old test files and implement comprehensive test suite for PDFExtractor class

- Deleted outdated test files: test_pdf_extractorv2.py, test_pdf_extractorv2_new.py, and test_pdf_functionality.py.
- Introduced a new comprehensive test suite for the PDFExtractor class, covering various functionalities including content extraction from different PDF types, error handling, and performance testing.
- Added mock dependencies and fixtures to streamline testing processes.
- Implemented tests for text extraction, table extraction, language detection, and related ID mapping.
- Ensured compatibility with multiple PDF formats and validated metadata completeness in extracted content.

* refactor: Moved tests from test_pdf_extractor.py to pdf_extractor_test.py, ensuring comprehensive coverage and maintaining functionality. Removed old test file to streamline the testing structure.

* refactor: update flake8 exclusions and clean up PDFExtractor tests for improved readability and maintainability

* chore: add pdf files using git lfs

* refactor: update parameter names in PDFExtractor class for clarity and consistency; enhance test suite with additional logging and assertions

* chore: remove PyTorch and related dependencies from pyproject.toml

* refactor: remove unused text-based PDF document from test data

* chore: add sample PDF document for testing in extractor-api-lib

* refactor: remove unused test methods and main execution block from pdf_extractor_test.py

* chore: add pytest-asyncio as a development dependency

* Remove unused dependencies: tabula and easyocr from pyproject.toml