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A modular graph-based Retrieval-Augmented Generation (RAG) system
Algorithm and data structure articles for https://cp-algorithms.com (based on http://e-maxx.ru)
Anthropic's educational courses
This is a collection json schema objects for validating openai endpoints requests and responses. This library also contains tools for scraping new schemas from the official api docs on openai.com w…
Microsoft's GraphRAG + AutoGen + Ollama + Chainlit = Fully Local & Free Multi-Agent RAG Superbot
This Open LLM Framework serves as a powerful and flexible tool for serving endpoints for embeddings and chat completions using SOTA open source language models. By leveraging models Transformers, t…
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.
GraphRAG4OpenWebUI integrates Microsoft's GraphRAG technology into Open WebUI, providing a versatile information retrieval API. It combines local, global, and web searches for advanced Q&A systems …
Local models support for Microsoft's graphrag using ollama (llama3, mistral, gemma2 phi3)- LLM & Embedding extraction
A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2.
Replace OpenAI with Llama.cpp Automagically.
Build Multimodal AI Agents with memory, knowledge and tools. Simple, fast and model-agnostic.
GNN-RAG: Graph Neural Retrieval for Large Language Modeling Reasoning
the AI-native open-source embedding database
Awesome-LLM: a curated list of Large Language Model
🚀 Generate GitHub profile README easily with the latest add-ons like visitors count, GitHub stats, etc using minimal UI.
Ready-to-run cloud templates for RAG, AI pipelines, and enterprise search with live data. 🐳Docker-friendly.⚡Always in sync with Sharepoint, Google Drive, S3, Kafka, PostgreSQL, real-time data APIs,…
Python ETL framework for stream processing, real-time analytics, LLM pipelines, and RAG.
Papers, authors and author affiliations from ICML, NeurIPS and ICLR 2006-2023