Using a single vector and graph database for GraphRAG
GraphRAG system, Tools, Updates, Implementation, Papers, WebUI, Local Deployments, Notebooks
Using a single vector and graph database for AI Agents?
A place to discuss open-source vector database and vector search applications, features and functionality to drive next-generation solutions. Check out our own Open-source Github at https://github.com/milvus-io/
Using a single vector and graph database for AI Agents?
Welcome to r/Rag, the community for everything Retrieval-Augmented Generation (RAG)! RAG combines retrieval systems with generative models to create more accurate responses, enhancing applications like customer support and research. Join us to discuss RAG techniques, projects, and tools. Whether you're a researcher, developer, or AI enthusiast, you'll find tips, tutorials, and support to innovate with RAG!
Using a single vector and graph database for AI Agents
LangChain is an open-source framework and developer toolkit that helps developers get LLM applications from prototype to production. It is available for Python and Javascript at https://www.langchain.com/.
Using a single vector and graph database for AI Agents?
A place for discussion around the use of AI Agents and related tools. AI Agents are LLMs that have the ability to "use tools" or "execute functions" in an autonomous or semi-autonomous (also known as human-in-the-loop) fashion. Follow our event calendar: https://lu.ma/oss4ai Join us on Discord! https://discord.gg/6tGkQcFjBY
Using a single vector and graph database for AI Agents?
A space for Enthusiasts, Developers and Researchers to discuss LLMs and their applications.
Using a single vector and graph database for AI Agents
Welcome to r/learnmachinelearning - a community of learners and educators passionate about machine learning! This is your space to ask questions, share resources, and grow together in understanding ML concepts - from basic principles to advanced techniques. Whether you're writing your first neural network or diving into transformers, you'll find supportive peers here. For ML research, /r/machinelearning For resume review, /r/engineeringresumes For ML engineers, /r/mlengineering
