The all-in-one LLM developer platform: prompt management, evaluation, human feedback, and deployment all in one place.
-
Updated
May 24, 2024 - Python
The all-in-one LLM developer platform: prompt management, evaluation, human feedback, and deployment all in one place.
Gemini Pro LLM and Pinecone Vector Database for fast and performant Retrieval Augmented Generation (RAG) with LlamaIndex
🪢 Open source LLM engineering platform: Observability, metrics, evals, prompt management, playground, datasets. Integrates with LlamaIndex, Langchain, OpenAI SDK, LiteLLM, and more. 🍊YC W23
LlamaIndex is a data framework for your LLM applications
implémente de RAG (Recapitulative Augmented Generation) en utilisant une base de données vectorielle et un graphe de connaissances
Code from tutorials presented on the "Code AI with Rok" YouTube channel
Chat with multiple PDFs locally
The framework for fast development and deployment of RAG systems.
A Blazing Fast AI Gateway. Route to 100+ LLMs with 1 fast & friendly API.
GPT 3.5 Turbo LLM and MongoDB Atlas Vector Search for fast and performant Retrieval Augmented Generation (RAG) with LlamaIndex
Intelligent search engine/QA module that uses GPT models to provide accurate, relevant & recent answers from Google News/Web, & can directly answer user queries using GPT's knowledge.
Awesome LLM application repo
End to End Generative AI Industry Projects on LLM Models with Deployment
Sample to envision intelligent apps with Microsoft's Copilot stack for AI-infused product experiences.
A RAG demo using LlamaIndex that allows you to chat with your uploaded PDF documents
MovieGPT: A RAG, Gen AI application for Movie Recommendations
Genify is a powerful and versatile API that leverages advanced language models, including Google's Gemini 1.5 Pro, LLAMA 3 and other cutting-edge technologies, to deliver a wide range of natural language processing capabilities
Add a description, image, and links to the llama-index topic page so that developers can more easily learn about it.
To associate your repository with the llama-index topic, visit your repo's landing page and select "manage topics."