GenAI
The Enterprise-Grade Production-Ready Multi-Agent Orchestration Framework. Website: https://swarms.ai
Flexible and powerful framework for managing multiple AI agents and handling complex conversations
Framework for building, orchestrating and deploying multi-agent systems. Managed by OpenAI Solutions team. Experimental framework.
Generative AI Examples is a collection of GenAI examples such as ChatQnA, Copilot, which illustrate the pipeline capabilities of the Open Platform for Enterprise AI (OPEA) project.
Fast, Accurate, Lightweight Python library to make State of the Art Embedding
LangSmith Client SDK Implementations
A one stop repository for generative AI research updates, interview resources, notebooks and much more!
Knowledge Agents and Management in the Cloud
Perplexica is an AI-powered answering engine. It is an Open source alternative to Perplexity AI
The official Python SDK for the ElevenLabs API.
A modular graph-based Retrieval-Augmented Generation (RAG) system
A natural language interface for computers
A developer reference project for creating Retrieval Augmented Generation (RAG) chatbots on Windows using TensorRT-LLM
Neo4j graph construction from unstructured data using LLMs
Build resilient language agents as graphs.
This repository contains the codes of "A Lip Sync Expert Is All You Need for Speech to Lip Generation In the Wild", published at ACM Multimedia 2020. For HD commercial model, please try out Sync Labs
This repository provides an advanced Retrieval-Augmented Generation (RAG) solution for complex question answering. It uses sophisticated graph based algorithm to handle the tasks.
This repository showcases various advanced techniques for Retrieval-Augmented Generation (RAG) systems. RAG systems combine information retrieval with generative models to provide accurate and cont…
High accuracy RAG for answering questions from scientific documents with citations
The easiest way to use Agentic RAG in any enterprise
Debug, evaluate, and monitor your LLM applications, RAG systems, and agentic workflows with comprehensive tracing, automated evaluations, and production-ready dashboards.
Evaluation, benchmark, and scorecard, targeting for performance on throughput and latency, accuracy on popular evaluation harness, safety, and hallucination
Supercharge Your LLM Application Evaluations 🚀
IBM watsonx.ai sample models, notebooks and apps.