Stars
Recipes for learning, fine-tuning, and adapting ColPali to your multimodal RAG use cases. 👨🏻🍳
scrape data data from Google Maps. Extracts data such as the name, address, phone number, website URL, rating, reviews number, latitude and longitude, reviews,email and more for each place
MERA (Multimodal Evaluation for Russian-language Architectures) is a new open benchmark for the Russian language for evaluating SOTA models.
A security scanner for your LLM agentic workflows
Get your documents ready for gen AI
GritQL is a query language for searching, linting, and modifying code.
python jupyter notebook tutorials
🧪 Experimental features for Haystack
Framework for orchestrating role-playing, autonomous AI agents. By fostering collaborative intelligence, CrewAI empowers agents to work together seamlessly, tackling complex tasks.
💡 All-in-one open-source AI framework for semantic search, LLM orchestration and language model workflows
🏡 Open source home automation that puts local control and privacy first.
Unified Efficient Fine-Tuning of 100+ LLMs & VLMs (ACL 2024)
🤗 smolagents: a barebones library for agents that think in python code.
Debug, evaluate, and monitor your LLM applications, RAG systems, and agentic workflows with comprehensive tracing, automated evaluations, and production-ready dashboards.
Python & Command-line tool to gather text and metadata on the Web: Crawling, scraping, extraction, output as CSV, JSON, HTML, MD, TXT, XML
🔥 Turn entire websites into LLM-ready markdown or structured data. Scrape, crawl and extract with a single API.
🚀🤖 Crawl4AI: Open-source LLM Friendly Web Crawler & Scraper. Don't be shy, join here: https://discord.gg/jP8KfhDhyN
FlashMLA: Efficient MLA decoding kernels
The official Python library for the OpenAI API
Cost-efficient and pluggable Infrastructure components for GenAI inference
Transformers-compatible library for applying various compression algorithms to LLMs for optimized deployment with vLLM
AutoAWQ implements the AWQ algorithm for 4-bit quantization with a 2x speedup during inference. Documentation:
Fast and extensible multi-platform HTTP/1-2-3 web server with automatic HTTPS
An extremely fast Python package and project manager, written in Rust.
The code used to train and run inference with the ColVision models, e.g. ColPali, ColQwen2, and ColSmol.