* docs: add comprehensive database configuration instructions to README
Add detailed instructions for custom database configuration using graph drivers:
- Neo4j with custom database name
- FalkorDB with custom database name
- Best practices for using graph drivers
- Environment variable configuration examples
Resolves#702
Co-authored-by: Daniel Chalef <danielchalef@users.noreply.github.com>
* Update README.md
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Co-authored-by: claude[bot] <209825114+claude[bot]@users.noreply.github.com>
Co-authored-by: Daniel Chalef <danielchalef@users.noreply.github.com>
* fix: remove global DEFAULT_DATABASE usage in favor of driver-specific
config
Fixes bugs introduced in PR #607. This removes reliance on the global
DEFAULT_DATABASE environment variable. It specifies the database within
each driver. PR #607 introduced a Neo4j compatability, as the database
names are different when attempting to support FalkorDB.
This refactor improves compatability across database types and ensures
future reliance by isolating the configuraiton to the driver level.
* fix: make falkordb support optional
This ensures that the the optional dependency and subsequent import is compliant with the graphiti-core project dependencies.
* chore: fmt code
* chore: undo changes to uv.lock
* fix: undo potentially breaking changes to drive interface
* fix: ensure a default database of "None" is provided - falling back to internal default
* chore: ensure default value exists for session and delete_all_indexes
* chore: fix typos and grammar
* chore: update package versions and dependencies in uv.lock and bulk_utils.py
* docs: update database configuration instructions for Neo4j and FalkorDB
Clarified default database names and how to override them in driver constructors. Updated testing requirements to include specific commands for running integration and unit tests.
* fix: ensure params defaults to an empty dictionary in Neo4jDriver
Updated the execute_query method to initialize params as an empty dictionary if not provided, ensuring compatibility with the database configuration.
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Co-authored-by: Urmzd <urmzd@dal.ca>
* feat: add template compliance check for issues and pull requests
* drop review action
* fix: update linting and type checking references in CLAUDE.md
The cross_encoder for Gemini already supported passing in a custom client.
I replicated the same input pattern to embedder and llm_client.
The value is, you can support custom API endpoints and other options like below:
cross_encoder=GeminiRerankerClient(
client=genai.Client(
api_key=os.environ.get('GOOGLE_GENAI_API_KEY'),
http_options=types.HttpOptions(api_version='v1alpha')),
config=LLMConfig(
model="gemini-2.5-flash-lite-preview-06-17"
)
))
Updated the error and success responses in various functions to utilize structured response classes (ErrorResponse, SuccessResponse, FactSearchResponse, EpisodeSearchResponse, StatusResponse) for improved consistency and clarity. Incremented version in pyproject.toml to 0.2.1.
* Update Docker Compose to use the latest Graphiti MCP image and enhance README documentation
* Enhance README.md with updated quick start instructions for various clients, including specific sections for Claude Desktop and Cursor, and clarify service startup steps using Docker Compose.
* Add GitHub Actions workflow for building and pushing MCP Server Docker image
This commit introduces a new workflow that triggers on changes to the pyproject.toml file in the main branch. It builds and pushes the Docker image to Docker Hub, extracting the version from the pyproject.toml and setting up necessary permissions and steps for the process.
* Add workflow_dispatch input to MCP Server Docker workflow
This commit adds an optional input parameter, `push_image`, to the GitHub Actions workflow for the MCP Server Docker image. This allows users to control whether to push the image to the registry during manual workflow dispatch, enhancing flexibility for testing purposes.
* Update Docker workflow conditions and increment version to 0.2.0
This commit modifies the MCP Server Docker workflow to include the `push_image` input conditionally for both pull requests and manual dispatches. Additionally, the version in `pyproject.toml` is updated from 0.1.0 to 0.2.0 to reflect the changes made.
* Remove unnecessary package write permission from MCP Server Docker workflow
* Add permissions for packages, actions, and security events in MCP Server Docker workflow
* Update MCP Server Docker workflow to use Ubuntu 24.04 for build environment
* Update MCP Server Docker workflow permissions to include id-token write access
* Remove unused cache configuration from MCP Server Docker workflow
* add support for Gemini 2.5 model thinking budget
* allow adding thinking config to support current and future gemini models
* merge
* improve client; add reranker
* refactor: change type hint for gemini_messages to Any for flexibility
* refactor: update GeminiRerankerClient to use direct relevance scoring and improve ranking logic. Add tests
* fix fixtures
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Co-authored-by: realugbun <github.disorder751@passmail.net>
* migrate to pyright
* Refactor type checking to use Pyright, update dependencies, and clean up code.
- Replaced MyPy with Pyright in configuration files and CI workflows.
- Updated `pyproject.toml` and `uv.lock` to reflect new dependencies and versions.
- Adjusted type hints and fixed minor code issues across various modules for better compatibility with Pyright.
- Added new packages `backoff` and `posthog` to the project dependencies.
* Update CI workflows to install all extra dependencies for type checking and unit tests
* Update dependencies in uv.lock to replace MyPy with Pyright and add nodeenv package. Adjust type hinting in config.py for compatibility with Pyright.
* Update dependencies in pyproject.toml and uv.lock: bump graphiti-core to 0.14.0, add backoff and posthog packages, and update related version specifications.
* Update Dockerfile to change ownership command for app directory to verbose mode
* Implement telemetry feature for anonymous usage statistics collection in Graphiti; update Dockerfile CMD format for better signal handling; adjust Neo4j URI and healthcheck in docker-compose.yml; add new dependencies in pyproject.toml and poetry.lock.
* remove duplicated properties
* Update Dockerfile CMD to use JSON array format for improved signal handling
* remove tommlib dep only in 3.11
* Delete server/graph_service/logging_config.py
