Stars
🚀🤖 Crawl4AI: Open-source LLM Friendly Web Crawler & Scraper
A vector search SQLite extension that runs anywhere!
LLM-powered multiagent persona simulation for imagination enhancement and business insights.
RAGFlow is an open-source RAG (Retrieval-Augmented Generation) engine based on deep document understanding.
The AI-native database built for LLM applications, providing incredibly fast hybrid search of dense vector, sparse vector, tensor (multi-vector), and full-text
FactScoreLite is an implementation of the FactScore metric, designed for detailed accuracy assessment in text generation. This package builds upon the framework provided by the original FactScore r…
Build applications that make decisions (chatbots, agents, simulations, etc...). Monitor, trace, persist, and execute on your own infrastructure.
fabric is an open-source framework for augmenting humans using AI. It provides a modular framework for solving specific problems using a crowdsourced set of AI prompts that can be used anywhere.
Framework for orchestrating role-playing, autonomous AI agents. By fostering collaborative intelligence, CrewAI empowers agents to work together seamlessly, tackling complex tasks.
Autonomous coding agent right in your IDE, capable of creating/editing files, executing commands, using the browser, and more with your permission every step of the way.
Library allowing you to use GenAI prompts saved as .prompt files, keeping your prompts organised and controlled
Go modular http middleware to measure HTTP requests independent of metrics backend (with Prometheus and OpenCensus as backend implementations) and http framework/library
🐍 Script to compare llm performances with statistics
Open Source Tool To Preemptively Test Ad Creatives Against Synthetic Target Audiences
advertools - online marketing productivity and analysis tools
A caddy module that adds support for nats.io pub/sub and request/reply
Caddy module that performs replacements in response bodies
Simple Umami Analytics integration into Svelte and SvelteKit
Provide additional features for PynamoDB