* 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
* Override default max tokens for Anthropic and Groq clients
* Override default max tokens for Anthropic and Groq clients
* Override default max tokens for Anthropic and Groq clients
The code changes refactor the `OpenAIClient` initialization to accept an optional `client` parameter. This allows the client to be passed in from outside, providing more flexibility and enabling easier testing.
The code changes fix a bug in the `dedupe_node_list` function where a node instance was not found in the node map. The bug is now handled by logging a warning message and skipping the iteration. This ensures that the function continues to execute without any errors.
* fix(search): 🐛 Search across null group_ids
* chore: Version bump
* chore: Set group_ids to none if it's an empty list
* fix: Check for group ids being a list before setting it to None if empty
* fix check
* chore: Simplify group_ids check
* chore: Simplify the check further
* 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
* parallelize edge deduping more
* parallelize node insertion more
* improve bulk behavior performance
* dedupe nodes actually works
* add a reranker to search
* bulk dedupe episodes only across the same nodes
* add temporal extraction bulk function
* cleaned up bulk
* default to 4o
* format
* mypy
* mympy
* mypy ignore
* add CRUD operations and fix search limit bugs
* format
* update tests
* å
* update tests to double limit call
* add default field
* format
* import correct field
* 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>
Add a new `text` episode type and update the `extract_nodes` function to handle it.
* **EpisodeType Enum:**
- Add `text` to the `EpisodeType` enum in `graphiti_core/nodes.py`.
- Update the `from_str` method to handle the `text` episode type.
* **extract_nodes Function:**
- Update the `extract_nodes` function in `graphiti_core/utils/maintenance/node_operations.py` to handle the `text` episode type.
- Use the `message` type prompt for both `message` and `text` episodes.
---
For more details, open the [Copilot Workspace session](https://copilot-workspace.githubnext.com/getzep/graphiti?shareId=XXXX-XXXX-XXXX-XXXX).
* add new search reranker and update search
* node distance reranking
* format
* rebase
* no need for enumerate
* mypy typing
* defaultdict update
* rrf prelim ranking
