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A modular graph-based Retrieval-Augmented Generation (RAG) system
scikit-learn cross validators for iterative stratification of multilabel data
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?
An open-source AI agent that brings the power of Gemini directly into your terminal.
Claude Code is an agentic coding tool that lives in your terminal, understands your codebase, and helps you code faster by executing routine tasks, explaining complex code, and handling git workflo…
Download market data from Yahoo! Finance's API
Debug, evaluate, and monitor your LLM applications, RAG systems, and agentic workflows with comprehensive tracing, automated evaluations, and production-ready dashboards.
The fastest, litest AI Gateway. Rust core with Python SDK. Call 100+ LLM APIs in OpenAI (or native) format with cost tracking, guardrails, load balancing, and logging [Bedrock, Azure, OpenAI, Anthr…
Distributed Task Queue (development branch)
Build Agentic workflows, RAG pipelines, with rich AI model and tool support on one collaborative workspace. Deploy on cloud, VPC, or self-hosted, so teams move from prototype to production without …
Convert documents to structured data effortlessly. Unstructured is open-source ETL solution for transforming complex documents into clean, structured formats for language models. Visit our website …
The context API to search, scrape, and interact with the web at scale. 🔥
The code repository hosting the code samples from my book
Reads key-value pairs from a .env file and can set them as environment variables. It helps in developing applications following the 12-factor principles.
This repository showcases various advanced techniques for Retrieval-Augmented Generation (RAG) systems. Each technique has a detailed notebook tutorial.
Mastra is the modern TypeScript framework for AI-powered applications and agents.
Get your documents ready for gen AI
Python tool for converting files and office documents to Markdown.
🐙 Guides, papers, lessons, notebooks and resources for prompt engineering, context engineering, RAG, and AI Agents.
A collection of benchmarks and datasets for evaluating LLM.
Implement a ChatGPT-like LLM in PyTorch from scratch, step by step
tiktoken is a fast BPE tokeniser for use with OpenAI's models.
The /llms.txt file, helping language models use your website