[Feature Request]: Add Rerank capability for Ollama

[Crimson-Hawk-1]

Is there an existing issue for the same feature request?

• I have checked the existing issues.

Is your feature request related to a problem?

Yes, currently, RAGFlow does not support the integration of Ollama's rerank models. This limitation prevents users from leveraging Ollama's reranking capabilities within their retrieval-augmented generation workflows, potentially affecting the relevance and accuracy of generated content.

Describe the feature you'd like

I propose adding support for Ollama's rerank models in RAGFlow. This integration would enable users to utilize Ollama's reranking functionalities, enhancing the relevance of search results and improving the overall quality of content generation within RAGFlow.

Describe implementation you've considered

To implement this feature, the following steps could be considered:

Model Integration: Update RAGFlow's model management system to recognize and incorporate Ollama's rerank models. Ensure compatibility with Ollama's API endpoints for reranking tasks.

Configuration Updates: Modify configuration files, such as llm_factories.json, to include entries for Ollama's rerank models. Provide documentation on configuring and utilizing Ollama's rerank models within RAGFlow.

User Interface Enhancements: Add options in the RAGFlow interface to select and manage Ollama's rerank models. Display relevant metrics and performance indicators for rerank operations.

Documentation, adoption, use case

Integrating Ollama's rerank models into RAGFlow would be beneficial in scenarios where users require enhanced search result relevance and accuracy. For instance, in content generation workflows, utilizing rerank models can ensure that the most pertinent information is prioritized, leading to higher-quality outputs.

Additional information

Implementing this feature will require collaboration between the RAGFlow and Ollama development teams to ensure seamless integration and optimal performance. Notably, Ollama has recently introduced rerank capabilities, enabling more effective reordering of search results based on relevance. Integrating this feature into RAGFlow would provide users with advanced tools to improve the accuracy and relevance of generated content.