Ollama integration
Add Ollama to the list of available models.
Summary by CodeRabbit
-
New Features
- Introduced comprehensive prompts for ontology creation and data extraction for graph databases.
- Enhanced functionality for generating OpenCypher statements and managing information flow between agents.
-
Bug Fixes
- Updated the initialization process to ensure configuration defaults are always defined.
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Tests
- Improved test setup with a more comprehensive ontology and modified logic to focus on counting actors in movies.
Walkthrough
The changes in this pull request involve significant updates to the OllamaGenerativeModel and OllamaChatSession classes in the graphrag_sdk/models/ollama.py file, enhancing type clarity and method organization. The test suite in tests/test_kg_ollama.py has been refined, with an expanded ontology and updated logic for verifying actor counts. Additionally, the workflow configuration in .github/workflows/test.yml has been improved to include health checks for the ollama service, ensuring its readiness before running tests.
Changes
| File | Change Summary |
|---|---|
graphrag_sdk/models/ollama.py |
Updated constructors in OllamaGenerativeModel and OllamaChatSession to use Optional for parameters. Added _connect_to_client and check_and_pull_model methods. Modified ask and send_message methods for clarity. Added get_chat_history. |
tests/test_kg_ollama.py |
Enhanced test setup and logic; added "Actor" and "Movie" entities to the ontology. Updated test_kg_creation to count actors instead of listing them. Added test_kg_delete method. |
.github/workflows/test.yml |
Added health check for ollama service and a waiting step for readiness. Introduced log checking for debugging in case of failures. |
Possibly related PRs
-
#21: The changes in the
tests/test_kg_ollama.pyfile involve modifications related to theOllamaGenerativeModel, which is directly referenced in the main PR's updates to theOllamaGenerativeModelclass. The testing enhancements are likely to be related to the functionalities introduced in the main PR. -
#22: The
AzureOpenAiGenerativeModelclass introduced in this PR has a constructor that initializes with an optionalgeneration_config, similar to the changes made in theOllamaGenerativeModelclass in the main PR. This indicates a shared focus on generative model configurations.
Suggested reviewers
- swilly22
π In the code, we hop and play,
With models that brighten the day.
From actors to chats, we refine,
Our tests now sparkle and shine!
Health checks in place, all systems go,
Letβs code and create, with joy and flow! π
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π₯ Commits
Files that changed from the base of the PR and between 99cdea1320c1b9019c108a66604c62fb6f7dcb2b and b258803a0c8172539a3dd8fa72610f8277bfe53e.
π Files selected for processing (1)
- tests/test_kg_ollama.py (3 hunks)
π§ Files skipped from review as they are similar to previous changes (1)
- tests/test_kg_ollama.py
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