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Starred repositories
Empowering RAG with a memory-based data interface for all-purpose applications!
"MiniRAG: Making RAG Simpler with Small and Free Language Models"
[WWWJ 2024] LLMs for Knowledge Graph Construction and Reasoning: Recent Capabilities and Future Opportunities
PIKE-RAG: sPecIalized KnowledgE and Rationale Augmented Generation
Code and data for the publication "Structured information extraction from scientific text with large language models" by Dagdelen & Dunn et al.
InsTag: A Tool for Data Analysis in LLM Supervised Fine-tuning
"LightRAG: Simple and Fast Retrieval-Augmented Generation"
A simple, easy-to-hack GraphRAG implementation
GraphRAG using Local LLMs - Features robust API and multiple apps for Indexing/Prompt Tuning/Query/Chat/Visualizing/Etc. This is meant to be the ultimate GraphRAG/KG local LLM app.
An open-source RAG-based tool for chatting with your documents.
[NeurIPS 2024] Spider2-V: How Far Are Multimodal Agents From Automating Data Science and Engineering Workflows?
[ICLR 2025 Oral] Spider 2.0: Evaluating Language Models on Real-World Enterprise Text-to-SQL Workflows
🔥🔥🔥AI-driven database tool and SQL client, The hottest GUI client, supporting MySQL, Oracle, PostgreSQL, DB2, SQL Server, DB2, SQLite, H2, ClickHouse, and more.
MAC-SQL: A Multi-Agent Collaborative Framework for Text-to-SQL
This is a continuously updated handbook for readers to easily track the latest Text-to-SQL techniques in the literature and provide practical guidance for researchers and practitioners. If we misse…
Microsoft's GraphRAG + AutoGen + Ollama + Chainlit = Fully Local & Free Multi-Agent RAG Superbot
Agentic components of the Llama Stack APIs
A generative one-for-all model for joint graph language modeling
Memory for AI Agents; SOTA in AI Agent Memory; Announcing OpenMemory MCP - local and secure memory management.
A modular graph-based Retrieval-Augmented Generation (RAG) system
Implementation of Not All Contexts Are Equal: Teaching LLMs Credibility-aware Generation. Paper: https://arxiv.org/abs/2404.06809
[NeurIPS'23 Oral] Visual Instruction Tuning (LLaVA) built towards GPT-4V level capabilities and beyond.
Unified Efficient Fine-Tuning of 100+ LLMs & VLMs (ACL 2024)