Orchestrate Recursive Language workflows for oversized documents using rlm-rs CLI with hybrid search.
npx skills add https://github.com/zircote/rlm-rs-plugin --skill rlm-zircote
Please help me install this Agent Skill. Skill: rlm Source: https://github.com/zircote/rlm-rs-plugin/tree/main/skills/rlm Command: npx skills add https://github.com/zircote/rlm-rs-plugin --skill rlm-zircote
This Skill tackles the challenge of processing and analyzing documents that are too large to fit into the standard context window of language models, enabling deep insights from extensive datasets.
Use the rlm skill to process the large file named 'research_paper.pdf'.
High-intent search queries and answers about installing and using this skill.
Large document processing beyond context limits is handled by the Recursive Language Model pattern, which chunks files, analyzes segments with sub-LLM agents, and synthesizes findings to extract deep insights.
The best way to search massive contracts is using a hybrid semantic and BM25 search mechanism, which efficiently locates specific clauses across chunked document data via pass-by-reference retrieval.
Yes, you can process multi-hundred-page PDFs without hitting context limits because the rlm-rs CLI orchestrates files up to 100x larger than standard context windows for deep analysis.
The workflow synthesizes large codebase findings by passing chunk references to a synthesizer agent, which aggregates the sub-LLM agents' individual analyses into a single coherent summary.
Yes, the rlm-rs CLI is required to execute the Recursive Language Model workflow, providing the core architecture for chunking, sub-LLM agent integration, and synthesizer aggregation.
AmitabhainArunachalaProcess contexts exceeding token limits via Recursive Language Models.
shynlee04Search the web and extract content via Tavily and Exa using the inference.sh CLI.
RigohlCoordinate hybrid semantic and full-text search across multiple engines via FFI.
martiendejongProcess large files and multi-file analyses via recursive external-context chunking.
