feat: Add placeholder for LangChain with Memorystore Redis integration #29
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This commit introduces the RedisVectorStore class, extending VectorStore to enable vector storage and retrieval using Memorystore Redis.
…20) * fix: fix linter and encoding of MemorystoreChatMessageHistory class. * fix: use relative path for __init__ imports
* feat(vector store): Add usage demo and enhance Redis integration - Add Jupyter notebook in `docs/` for using langchain vector store with Memorystore Redis. - Update `vector_store.py` for improved performance and reliability with Redis. - Modify `__init__.py` to reflect package structure changes and new functionalities. - Include `requirements.txt` and `setup.py` for easy installation and dependency management. - Add `state_of_the_union.txt` in `docs/` as a sample dataset for the notebook demo. * incorporate review feedback * added missing license header * excluded the test file from license check * reformatted source files * incorporated review feedback * fixed lint errors * fixed more lint errors * removed key_prefix argument from vectorstore * incorporated review feedback * fixed formatting errors * fixed a bad merge * suppress mypy errors for setuptools * trying mypy.ini * remove setup.py and requirements * add numpy dependency
* feat: add MemorystoreDocumentSaver class * fix: use variable in the worker pool of the Cloud Build integration * fix: update doc saver for json encoding * fix: align key_prefix behavior * fix: add back key_prefix if keys_or_ids is given * fix: fix indent of the comments * fix: get encoder directly from the Redis client * fix: add pipeline support for Redis client * fix: reorder prefix and content_field in constructor * fix: insert prefix to all given document IDs * fix: fix tests prefix and chat encoding
…es (#22) * feat(vector store): Add usage demo and enhance Redis integration - Add Jupyter notebook in `docs/` for using langchain vector store with Memorystore Redis. - Update `vector_store.py` for improved performance and reliability with Redis. - Modify `__init__.py` to reflect package structure changes and new functionalities. - Include `requirements.txt` and `setup.py` for easy installation and dependency management. - Add `state_of_the_union.txt` in `docs/` as a sample dataset for the notebook demo. * incorporate review feedback * added missing license header * excluded the test file from license check * reformatted source files * incorporated review feedback * fixed lint errors * fixed more lint errors * removed key_prefix argument from vectorstore * incorporated review feedback * fixed formatting errors * fixed a bad merge * suppress mypy errors for setuptools * trying mypy.ini * remove setup.py and requirements * add numpy dependency * refactor(vector-store): enhance validation and initialization processes - Add validation for unsupported data types and negative vector sizes in VectorIndexConfig. - Refactor field_name parameters in HNSWConfig and FLATConfig to support type hinting with optional strings. - Enhance RedisVectorStore initialization by enforcing type checks for client, index_name, and embedding_service. - Introduce an optional 'ids' parameter in methods to allow explicit document identifiers, improving document management. - Adjust method documentation and error messages for clarity and consistency. * Incorporated review feedback * fixed formatting * incorporated review feedback * formatting * fixed bugs * fix formatting * added vector store unittests * actualy added vector store tests * fix formatting * fix: fix styles and formats --------- Co-authored-by: Craig Chi <craigchi@google.com>
- Introduce initial ipynb file as a scaffold for demonstrating the integration of LangChain with Memorystore for Redis. - The notebook is currently a placeholder, with detailed examples and guidance to be added.
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Fixes #<issue_number_goes_here> 🦕