Showing 101-120 of 267 projects
A suite of tools to develop RAG, semantic search, and other AI apps more easily with PostgreSQL
A visual playground for agentic workflows to iterate over agents 10x faster with AI tools and LLMs.
A comprehensive guide to large language models (LLMs) for developers, covering interview prep, knowledge sharing, and more.
A text-to-SQL generation system powered by large language models and RAG, enabling intelligent data analysis through conversational queries.
A context-aware AI assistant for developers that integrates multiple LLMs and MCP tools for intelligent desktop interaction.
Open-source framework for building AI-powered apps in JavaScript, Go, and Python, used in production by Google.
A TypeScript library that enables AI coding agents to use an entire codebase as context for semantic search and code generation.
Gathers text and metadata from the web using crawling, scraping, and extraction techniques.
A low-code MCP framework for building complex and innovative RAG pipelines with AI tools.
An open-source platform for building AI-native applications using LLMs, agents, and retrieval-augmented generation.
Prompt-To-Agent: Create custom engineering agents for your codebase using AI and knowledge graphs.
Superduper is an end-to-end framework for building custom AI applications and agents using Python, PyTorch, and Transformers.
Open-source evaluation and testing library for LLM Agents
Structured data extraction and instruction calling with ML, LLM and Vision LLM for AI-powered developers.
MineContext is an AI-powered platform that provides proactive, context-aware assistance for developers building with AI tools.
Eko is an agentic framework that helps developers build production-ready AI-powered workflows with natural language interactions.
RuoYi AI is a full-stack AI development platform to help developers quickly build and deploy personalized AI applications.
A practical guide for LLM engineers, covering fundamentals to deploying advanced LLM and RAG apps to AWS using LLMOps best practices.
Context database for AI agents managing memory, resources, and skills via filesystem abstraction
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