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  1. Home
  2. /Repositories
  3. /lotus-data/lotus
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repoGitHubTrust 82 · PrimaryPublished yesterdayLive · 16h ago

lotus-data/lotus

Optimized LLM and Agentic Data Processing

Lineage graph

Paper → model → repo connections mined from source citations (Tier-1 exact match).

Covers

newsStructured memory filtering with metadata in AgentCore MemorynewsAI agents need context everywhere they run, even where the cloud can't follownewsA system-level approach to prompt injection: separating instruction and data channels in LLM agents [P]

Implements

paperTraceLab: Characterizing Coding Agent Workloads for LLM ServingpaperMaDI-Bench: An End-to-End Data Integration BenchmarkpaperPACE: A Proxy for Agentic Capability Evaluation

Related across the graph

paperTraceLab: Characterizing Coding Agent Workloads for LLM ServingnewsAI agents need context everywhere they run, even where the cloud can't follownewsStructured memory filtering with metadata in AgentCore MemorypaperPACE: A Proxy for Agentic Capability EvaluationpaperMaDI-Bench: An End-to-End Data Integration BenchmarknewsA system-level approach to prompt injection: separating instruction and data channels in LLM agents [P]
Knowledge path·PTraceLab: Characterizing Coding Agent Workloads for LLM Serving→NAI agents need context everywhere they run, even where the cloud can't follow→NStructured memory filtering with metadata in AgentCore Memory→Rlotus-data/lotus

Topics

ai-data-processingdatallmllm-data-processingllm-document-processingpandaspythonsemantic-operatorssemantic-searchunstructured-data

Explore

Search similar →Knowledge graph →All repos →Full intelligence feed →
Graph trust82Primary
Graph score1628