* 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.
---------
Co-authored-by: Urmzd <urmzd@dal.ca>
* Bump version from 0.9.0 to 0.9.1 in pyproject.toml and update google-genai dependency to >=0.1.0
* Bump version from 0.9.1 to 0.9.2 in pyproject.toml
* Update google-genai dependency version to >=0.8.0 in pyproject.toml
* loc file
* Update pyproject.toml to version 0.9.3, restructure dependencies, and modify author format. Remove outdated Google API key note from README.md.
* upgrade poetry and ruff
* Update README.md to include installation instructions for Graphiti with Google Gemini support
* fix to deps since peotry doesn't fully implement PEP 735
* Refactor string formatting in various files to use single quotes for consistency and improve readability. This includes updates in agent.ipynb, quickstart.py, multiple prompt files, and ingest.py and retrieve.py modules.
* Remove optional dependencies from pyproject.toml to streamline project requirements.
- Updated the main README to direct users to the new quickstart example.
- Added a comprehensive quickstart example demonstrating Graphiti's core functionalities, including connecting to Neo4j, adding episodes, and performing searches.
- Created a requirements.txt file for the quickstart example to manage dependencies.
- Documented setup instructions and next steps for users to explore Graphiti's capabilities.
* implement so
* bug fixes and typing
* inject schema for non-openai clients
* correct datetime format
* remove List keyword
* Refactor node_operations.py to use updated prompt_library functions
* update example
* node distance and group_ids fixed
* get all with no group_id passed
* push
* push
* remove comments
* mypy
* mypy ids
* please mypy
* trust
* last one
* WIP
* in memory graph detection
* format
* add comments
* update readme
* fixed an issue where solo nodes would throw an error when building communities
* set and retrieve group ids
* update add episode with group id support
* add episode and search functional
* update bulk
* mypy updates
* remove unused imports
* update unit tests
* unit tests
* add optional uuid field
* format
* mypy
* ellipsis
* temp commit while moving
* fix name embedding bug
* invalidation
* format
* tests on runner examples
* format
* ellipsis
* ruff
* fix
* format
* minor prompt change
* Add get_nodes_by_query method to Graphiti class
Add a method to the Graphiti class that wraps `get_relevant_nodes` and returns a list of nodes given a query.
* Add `get_nodes_by_query` method to the `Graphiti` class in `graphiti_core/graphiti.py`.
* Import `generate_embedding` from `graphiti_core/llm_client/utils.py`.
* Use `generate_embedding` to generate an embedding for the query.
* Call `get_relevant_nodes` with the generated embedding and return the relevant nodes.
Add an embedding function to `llm_client/utils.py`.
* Add `generate_embedding` function to `graphiti_core/llm_client/utils.py`.
* Accept an embedder and model_id as parameters.
* Generate an embedding for the given text and return it.
---
For more details, open the [Copilot Workspace session](https://copilot-workspace.githubnext.com/getzep/graphiti?shareId=XXXX-XXXX-XXXX-XXXX).
* address comments left by @danielchalef on #49 (Add get_nodes_by_query method to Graphiti class);
* fix ellipsis name in cla config
* feat: Add get_nodes_by_query method to Graphiti class
* chore: Cleanup unused files, add hybrid node search, add tests
---------
Co-authored-by: ellipsis-dev[bot] <65095814+ellipsis-dev[bot]@users.noreply.github.com>
Co-authored-by: paulpaliychuk <pavlo.paliychuk.ca@gmail.com>
* feat: Update project name and description
The project name and description in the `pyproject.toml` file have been updated to reflect the changes made to the project.
* chore: Update pyproject.toml to include core package
The `pyproject.toml` file has been updated to include the `core` package in the list of packages. This change ensures that the `core` package is included when building the project.
* fix imports
* fix importats
