Leomrlin opened a new issue, #728:
URL: https://github.com/apache/geaflow/issues/728
### Description
The current context memory system lacks support for unstructured data types
such as text, images, video, and audio. These data formats do not come with
pre-built graph structures, requiring a mechanism to dynamically extract and
model relationships from raw data.
### Proposed Solution
Implement a `ConsolidateServer` component that will:
1. Read raw unstructured data from the storage system
2. Leverage available computational resources to:
- Analyze content and extract semantic relationships
- Generate necessary association edges between data entities
- Create searchable indices for different data modalities
3. Model the generated metadata as nodes/edges in the graph structure
4. Write the processed graph data back to the storage system
5. Support both initial graph construction and incremental updates
### Requirements
- Support multiple unstructured data types (text, images, video, audio)
- Implement pluggable processors for different data formats
- Design scalable algorithms for relationship extraction
- Ensure idempotent operations for update scenarios
- Provide configuration options for processing parameters
- Include monitoring and logging for consolidation jobs
### Expected Outcome
- Unified graph representation of both structured and unstructured data
- Improved context retrieval through enriched relationships
- Support for multimodal AI applications
- Reduced manual preprocessing requirements
---
This issue captures the core requirements while maintaining technical
clarity and actionable implementation details.
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