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Starred repositories
Build agents that scale with a zero-cost abstraction.
this repo is for linkedin learning course: Structuring Language Model Interactions with APIs and DSPy
This repository delivers end-to-end, code-first tutorials covering every layer of production-grade GenAI agents, guiding you from spark to scale with proven patterns and reusable blueprints for re…
In-depth tutorials on LLMs, RAGs and real-world AI agent applications.
SGLang is a fast serving framework for large language models and vision language models.
verl: Volcano Engine Reinforcement Learning for LLMs
🌟 The Multi-Agent Framework: First AI Software Company, Towards Natural Language Programming
Easily use and train state of the art late-interaction retrieval methods (ColBERT) in any RAG pipeline. Designed for modularity and ease-of-use, backed by research.
ColBERT: state-of-the-art neural search (SIGIR'20, TACL'21, NeurIPS'21, NAACL'22, CIKM'22, ACL'23, EMNLP'23)
Developer-friendly, embedded retrieval engine for multimodal AI. Search More; Manage Less.
High-Performance Engine for Multi-Vector Search
Darwin Gödel Machine: Open-Ended Evolution of Self-Improving Agents
Simple UI for debugging correlations of text embeddings
Open Source framework for voice and multimodal conversational AI
Suna - Open Source Generalist AI Agent
Next.js 15 fullstack template with better-auth for authentication and drizzle-orm as the orm
LLM agents built for control. Designed for real-world use. Deployed in minutes.
Opiniated RAG for integrating GenAI in your apps 🧠 Focus on your product rather than the RAG. Easy integration in existing products with customisation! Any LLM: GPT4, Groq, Llama. Any Vectorstore: …
DSPy: The framework for programming—not prompting—language models
AdalFlow: The library to build & auto-optimize LLM applications.
TextGrad: Automatic ''Differentiation'' via Text -- using large language models to backpropagate textual gradients.
The toolkit for AI devtools context engineering. Build with codebase mapping, symbol extraction, and many kinds of code search.
TimesFM (Time Series Foundation Model) is a pretrained time-series foundation model developed by Google Research for time-series forecasting.