Showing 41-60 of 156 projects
An accelerator for local LLM inference and fine-tuning on Intel XPUs, with seamless integration into popular LLM frameworks.
A local, offline-first AI research and report writing assistant for developers building with AI tools.
Semantic cache for large language models, fully integrated with LangChain and llama_index.
RAG (Reactive AI Gateway) from scratch, a framework for building reactive applications with AI tools.
A comprehensive tutorial for the LangChain library, a framework for building applications with large language models.
An open-source library providing GPT-powered tools and APIs for building AI-powered applications.
A production-ready multi-agent orchestration framework for building AI-powered applications and workflows.
A better UX for chat, writing content, and coding with LLMs.
An open-source platform for building AI-native applications using LLMs, agents, and retrieval-augmented generation.
Cozeloop is an open-source platform that provides full-lifecycle management for AI agent development, debugging, and monitoring.
Python SDK for AI agent monitoring, LLM cost tracking, benchmarking, and more for vibe coders.
An open-source asynchronous coding agent built with TypeScript and AI tools for vibe coders.
A Dockerized stack for Langchain, a conversational AI model, with Neo4j and Ollama
Argilla is a collaboration tool for AI engineers and domain experts to build high-quality datasets
Builds a Neo4j graph from unstructured data using LLMs
An open-source enterprise-level AI knowledge base and management platform for chatbots and LLM applications.
A comprehensive guide to using the RAG (Retrieval-Augmented Generation) technique for large language model applications.
This repository provides everything needed to build a Retrieval Augmented Generation (RAG) application using the LangChain framework.
Open-source implementation of the ChatGPT Code Interpreter, enabling AI-powered code generation and LLM integration.
Easiest way to build multi-agent LLM applications for vibe coders using Python and LangChain.
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