llm
Large Concept Models: Language modeling in a sentence representation space
DSPy: The framework for programming—not prompting—language models
This repository showcases various advanced techniques for Retrieval-Augmented Generation (RAG) systems. RAG systems combine information retrieval with generative models to provide accurate and cont…
A straightforward method for training your LLM, from downloading data to generating text.
A complement to pgvector for high performance, cost efficient vector search on large workloads.
The Self-hosted AI Starter Kit is an open-source template that quickly sets up a local AI environment. Curated by n8n, it provides essential tools for creating secure, self-hosted AI workflows.
Agent Framework / shim to use Pydantic with LLMs
LLM abstractions that aren't obstructions
🤗 smolagents: a barebones library for agents that think in code.
Stop juggling AI SDKs! RubyLLM offers one delightful Ruby interface for OpenAI, Anthropic, Gemini, Bedrock, OpenRouter, DeepSeek, Ollama & compatible APIs. Chat, Vision, Audio, PDF, Images, Embeddi…
SoTA production-ready AI retrieval system. Agentic Retrieval-Augmented Generation (RAG) with a RESTful API.
What are the principles we can use to build LLM-powered software that is actually good enough to put in the hands of production customers?
Build Real-Time Knowledge Graphs for AI Agents
🍒 Cherry Studio is a desktop client that supports for multiple LLM providers.
User-friendly AI Interface (Supports Ollama, OpenAI API, ...)