Add Hybrid Search and GraphRAG Support to LocalRecall

[localai-bot]

Description

The goal of this issue is to add support for hybrid search and GraphRAG to the LocalRecall project. Hybrid search is an approach that combines the strengths of vector-based and graph-based retrieval methods, while GraphRAG (Retrieval-Augmented Generation) integrates the use of knowledge graphs to enhance the retrieval and generation process.

Context

• Hybrid Search: Combines vector-based and graph-based retrieval methods to improve the accuracy and relevance of search results. This approach leverages both the dense vector representations and the structured relationships in a graph to provide more comprehensive and accurate results.
• GraphRAG: An advanced technique that uses knowledge graphs to augment the retrieval process. It enhances the retrieval of relevant information by leveraging the graph structure, which can capture complex relationships and entities.

Acceptance Criteria

• Implement hybrid search support in LocalRecall.
• Integrate GraphRAG to enhance the retrieval and generation process.
• Ensure that the hybrid search and GraphRAG functionalities are well-documented.
• Test the new features with a set of predefined use cases to ensure they meet the expected performance and accuracy standards.

[mudler]

#5

[mudler]

GraphRAG may be covered by #16