Awesome LLM Resources
Section: 知识库 RAG · A modular graph-based Retrieval-Augmented Generation (RAG) system.
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Appears in 5 awesome lists
GraphRAG is a data pipeline and transformation suite that is designed to extract meaningful, structured data from unstructured text using the power of LLMs.
Section: 知识库 RAG · A modular graph-based Retrieval-Augmented Generation (RAG) system.
Section: Retrieval-Augmented Generation · a modular graph-based RAG system
Section: 5. Retrieval-Augmented Generation (RAG) & Knowledge · Knowledge-graph-based RAG.
Section: Industry Strength Information Retrieval · GraphRAG is a data pipeline and transformation suite that is designed to extract meaningful, structured data from unstructured text using the power of LLMs.
Section: Other · A modular graph-based Retrieval-Augmented Generation (RAG) system
(MIT) provides modules for structured outputs at different levels of abstraction, including output parsers for text completion endpoints, Pydantic programs for mapping prompts to structured outputs using function calling or output parsing, and pre-defined Pydantic programs for specific output types.
Milvus is a cloud-native, open-source vector database built to manage embedding vectors generated by machine learning models and neural networks.
February 2026 release making human oversight a native workflow primitive: suspend execution at critical decision points, expose review-and-edit UI mid-flow, and route subsequent execution based on human action (approve/reject/escalate). Demonstrates how HITL transitions from bolt-on approval gates…
Open-source AI orchestration framework for building context-engineered, production-ready LLM applications. Design modular pipelines and agent workflows with explicit control over retrieval, routing, memory, and generation. Built for scalable agents, RAG, multimodal applications, semantic search,…
Python tool for converting files and office documents to Markdown. Supports PDF, PowerPoint, Word, Excel, images, audio, HTML, and more with OCR and transcription capabilities. MIT licensed.
AI-native database built for LLM applications with incredibly fast hybrid search of dense vector, sparse vector, tensor (multi-vector), and full-text. Powers RAGFlow's document engine. Apache 2.0 licensed.