Knowhere
The most accurate document parsing API for AI agents. Extract tables, formulas, and structured data with unmatched precision.
Knowhere launched on March 17, 2026 with 14 votes, #999 of 23,380 launches that month and more than 90% of that year's launches.
What it does
Knowhere helps AI agents read documents better. Turn messy docs into clean, structured knowledge for better RAG.
The plugin uses Knowhere for parsing and job orchestration, stores the returned result package inside OpenClaw-managed local storage, and gives agents a browse-first path to previews, chunks, hierarchy, and raw files before they answer. Knowhere parses the document, OpenClaw stores the returned package locally, and agents can reopen the exact manifest, hierarchy, chunks, and raw files later. The plugin registers `knowhere_*` tools for preview, grep, raw-file reads, cleanup, and explicit ingest flows instead of forcing everything through one opaque call. When `autoGrounding` is enabled, OpenClaw can auto-ingest attachments and inject compact document availability or status context right into…from knowhereto.ai
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ParsewiseMar 2026 · parsewise.ai · ▲169Hi HN! We're X25 alumni and built Parsewise to analyze large document sets with AI agents. Instead of prompting a single PDF, our agents extract, cross-reference, and reason across thousands of documents in one run. We originally built this for insurance and financial diligence workflows where teams review huge document packs. Curious what the HN community thinks! Check out our public demos: demo.parsewise.ai/insurance-claims-triage demo.parsewise.ai/reinsurance-recovery-optimization demo.parsewise.ai/investment-diligence demo.parsewise.ai/mortgage-underwriting



ParseBench – Document parsing benchmark for AI agentsApr 2026 · parsebench.ai · ▲9The first benchmark that evaluates what AI agents actually need from document parsing. 2,000 human-verified pages, 169K deterministic test rules, 5 capability dimensions.
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