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Awesome GitHub RepositoriesParallel Retrieval Processing
Architectures that use worker threads to parallelize the building and querying of large-scale datasets.
Distinct from Parallel Processing Workers: None of the candidates cover general-purpose worker-thread parallelization for memory retrieval; candidates were either browser-specific or limited to kernel memory.
Explore 1 awesome GitHub repository matching software engineering & architecture · Parallel Retrieval Processing. Refine with filters or upvote what's useful.
Awesome Parallel Retrieval Processing GitHub Repositories
AI के साथ बेहतरीन रिपॉजिटरी खोजें।हम AI का उपयोग करके सबसे सटीक रिपॉजिटरी खोजेंगे।
- aiming-lab/simplemem
aiming-lab/SimpleMem
2,972GitHub पर देखेंSimpleMem is a persistent memory system for AI assistants designed to maintain context across different user chat sessions. It functions as a memory server and multimodal vector database that stores and retrieves information from text, images, audio, and video. The project features a context compression engine that distills interaction histories into compact units to reduce token consumption. It utilizes a distributed memory orchestrator and worker-thread parallel processing to reduce latency when querying large-scale dialogue datasets. The system implements a hybrid indexing approach combin
Uses multiple background worker threads to parallelize memory building and query retrieval, reducing latency for large datasets.
Python
