Automatic Generation of Visualizations and Infographics using Large Language Models
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Updated
Aug 8, 2024 - Jupyter Notebook
Automatic Generation of Visualizations and Infographics using Large Language Models
Create chatbots with ease
Python & JS/TS SDK for running AI-generated code/code interpreting in your AI app
The unofficial DSPy framework. Build LLM powered Agents and "Agentic workflows" based on the Stanford DSP paper.
🦙 Integrating LLMs into structured NLP pipelines
Ship RAG based LLM web apps in seconds.
BaseAI — The Web AI Framework. The easiest way to build serverless autonomous AI agents with memory. Start building local-first, agentic pipes, tools, and memory. Deploy serverless with one command.
LLMs and Machine Learning done easily
Smoothly Manage Multiple LLMs (OpenAI, Anthropic, Azure) and Image Models (Dall-E, SDXL), Speed Up Responses, and Ensure Non-Stop Reliability.
OpenAI-compatible Python client that can call any LLM
A NodeJS RAG framework to easily work with LLMs and embeddings
FastAPI Backend for a Conversational Agent using Cohere, (Azure) OpenAI, Langchain & Langgraph and Qdrant as VectorDB
A Reactive CLI that generates git commit messages with Ollama, ChatGPT, Gemini, Claude, Mistral and other AI
Drop in replacement for the OpenAI Assistants API
Conversational AI tooling & personas built on Cohere's LLMs
Vector search demo with the arXiv paper dataset, RedisVL, HuggingFace, OpenAI, Cohere, FastAPI, React, and Redis.
Generate interactive flashcards from your notes using models from OpenAI (ChatGPT), Google (Gemini), Ollama (local LLMs), and more. Or manually create your own to use with the quiz UI.
Add a description, image, and links to the cohere topic page so that developers can more easily learn about it.
To associate your repository with the cohere topic, visit your repo's landing page and select "manage topics."