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🤖 A Python library for learning and evaluating knowledge graph embeddings
A GenAI Copilot for conversing with Neo4j Graph Databases
Neo4j graph construction from unstructured data using LLMs
A Solution Accelerator for the RAG pattern running in Azure, using Azure AI Search for retrieval and Azure OpenAI large language models to power ChatGPT-style and Q&A experiences. This includes mos…
A sample app for the Retrieval-Augmented Generation pattern running in Azure, using Azure AI Search for retrieval and Azure OpenAI large language models to power ChatGPT-style and Q&A experiences.
Langflow is a powerful tool for building and deploying AI-powered agents and workflows.
All the open source AI Agents hosted on the oTTomator Live Agent Studio platform!
Build Real-Time Knowledge Graphs for AI Agents
hoathaithanh / n8n-panel
Forked from vvthien/n8n-panelcong cu cai dat va quan ly N8N
llama3 implementation one matrix multiplication at a time
Comprehensive guide to learn RAG from basics to advanced.
Collection of awesome LLM apps with AI Agents and RAG using OpenAI, Anthropic, Gemini and opensource models.
🏆 A ranked list of awesome machine learning Python libraries. Updated weekly.
11 Lessons to Get Started Building AI Agents
AI Assistant to answer domain specific questions using RAG. Utilizes ChatGPT-4o-mini with hidden chain of thought and RAGAs to evaluate responses.
AI assistant specialized in Chain of Thought (CoT), logical reasoning and critical analysis. Breaks down complex problems and guides users through structured solutions using a connected step-by-ste…
Let your Claude able to think
A Python-based interactive UI tool that implements Claude's thinking chain mechanism, enabling step-by-step analysis and execution of complex tasks through a structured thinking process. It feature…
Source code for our paper ''RankCoT: Refining Knowledge for Retrieval-Augmented Generation through Ranking Chain-of-Thoughts''
hoathaithanh / RankCoT-for-RAG
Forked from NEUIR/RankCoTSource code for our paper ''RankCoT: Refining Knowledge for Retrieval-Augmented Generation through Ranking Chain-of-Thoughts''
[NeurIPS 2023] Tree of Thoughts: Deliberate Problem Solving with Large Language Models
[ICLR 2025] Chain-of-Action: Faithful and Multimodal Question Answering through Large Language Models
Retrieval-Augmented Generation (RAG) combines retrieval of information from a document database with generative AI to provide accurate and contextually aware answers. In this article, we'll walk th…
A multi-stage pipeline that enhances Qwen2.5 language models with DeepSeek Reasoner's chain-of-thought capabilities. Implements the DeepSeek-R1 methodology through cold-start SFT, reasoning-oriente…