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Marker-Inc-Korea/AutoRAG ★ 5056 433 APPLICATION

AutoRAG is a TypeScript-based RAG (Retrieval-Augmented Generation) agent platform with a CLI, local-first indexing, and a plugin-based datasource skill system. It provides an `AutoRAGAgent` that orchestrates document retrieval across multiple methods (BM25, vector, hybrid) and external data sources (Slack, Discord, Gmail, GitHub, KakaoTalk, Obsidian, cloud drives, etc.) via connector-backed skills. The agent uses a Pi agent loop with tools for search, memory, and feedback, and includes a web UI for datasource management. The repository also contains a legacy Python RAG pipeline (`legacy/autorag/`) with YAML-driven node-based evaluation, but the primary development is on the TypeScript version. Key architectural patterns include a parser registry with extension-based dispatch, a retrieval method registry with parallel execution and result merging, a memory subsystem with persistent feedback and insight extraction, and a portable spawn utility for cross-platform child process execution. The system is designed for privacy: remote embedding egress is rejected, and filesystem paths are kept opaque in diagnostics.

RATING: 8.4/10 MAINT: active DRIFT: medium
#rag #agent #retrieval #cli #typescript #datasource-connectors #memory #local-first #analysis #automl #benchmarking #document-parser #embeddings #evaluation #llm #llm-evaluation #llm-ops #open-source #ops #optimization #pipeline #python #qa #rag-evaluation #retrieval-augmented-generation
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