RAGFlow is a leading open-source Retrieval-Augmented Generation (RAG) engine that fuses cutting-edge RAG with Agent capabilities to create a superior context layer for LLMs
其他人工智能更新于 2026-10-25
其他人工智能LGPL-3.0
Repository dossier
erigontech/erigon
Ethereum implementation on the efficiency frontier
Brief / README 摘要
查看原文Erigon is an implementation of Ethereum (execution layer with embeddable consensus layer), on the efficiency frontier. *Download** | Documentation | Blog This README is for people working on the repository. Everything about operating a node — install methods, flags, pruning modes, ports, monitoring, staking — is on the documentation site. Documentation ============= The Erigon documentation answers most questions. Useful starting points: Installation — binaries, Docker, Linux/macOS, Windows, ARM Hardware requirements — disk, RAM, CPU, bandwidth Pruning modes — archive, full, blocks, minimal CL…
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