AI/ML●●●Banger
WMB-100K – Open benchmark for AI memory systems at 100K turns
100K-turn benchmark tests situational memory retrieval where others stop at 600.
Big BrainNiche Gem
wontopos
202mo ago
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GitHub Repository
Multimodal Document Agents over 100K+ files — enterprise agents for large-scale retrieval, research and automation over multimodal docs.
1 stars
Polyvia – Multimodal document retrieval over 100K+ files
by mgierlach-polyv·Jun 18, 2026·3 points·0 comments
AI Analysis
●●SolidSlickSolve My Problem
Sub-200ms retrieval over 100K files when most RAG systems choke at 100.
Strengths
- •End-to-end pipeline eliminates need for separate PDF parsers and visual extractors.
- •Python and TypeScript SDKs ship today with documented quickstart guides.
- •Specific performance claims (sub-200ms) instead of vague enterprise buzzwords.
Weaknesses
- •Enterprise RAG space is crowded with LlamaIndex, vector DBs, and funded competitors.
- •Platform product for knowledge workers is still coming soon, not available now.
Category
Target Audience
Enterprise developers building AI agents over large document collections
Similar To
LlamaIndex · Sourcegraph Cody · Glean
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