Chainlit
What is Chainlit?
Build reliable conversational AI. Evaluate your AI system. Observability and Analytics platform for LLM apps.
How to use Chainlit?
1. Sign up for an account on Chainlit 2. Create conversational AI models using the provided tools 3. Evaluate the performance of your AI system using the observability and analytics platform 4. Optimize and improve your AI models based on the insights gained 5. Deploy your conversational AI models in LLM apps 6. Monitor the performance of your deployed models
Chainlit's Core Features
Conversational AI development
AI system evaluation
Observability and analytics platform for LLM apps
Chainlit's Use Cases
Build chatbots for customer support
Create virtual assistants for smart devices
FAQ from Chainlit
What programming languages are supported by Chainlit?
Chainlit Reviews (0)
Chainlit Pricing
Free
$0/month
Includes basic features and limited usage
Pro
$99/month
Includes advanced features and higher usage limits
Enterprise
Contact us for pricing
Customized solutions for large-scale deployments
Analytic of Chainlit
Chainlit Website Traffic Analysis
Geography
Top 5 Regions
Chainlit Launch embeds
Use website badges to drive support from your community for your Toolify Launch. They're easy to embed on your homepage or footer.
Alternative of Chainlit
58.23%
Social Listening
Master RAG for LLM Pt2, with Mistral, Chainlit, Haystack, & Weaviate Vector Database | Step-by-Step
Unlock the power of Retrieval-Augmented Generation (RAG) for Large Language Models (LLM) in this comprehensive video tutorial. Learn how to integrate Mistral, Chainlit, Haystack, and Weaviate vector database to enhance your AI models. Whether you're a beginner or an experienced developer, this guide covers everything you need to know to effectively implement RAG for LLM, including practical examples and detailed explanations. Boost your AI capabilities and optimize your data retrieval today! First part: https://www.youtube.com/watch?v=9TfsNmqAz1s Used tools: Chainlit: https://chainlit.io/ Mistral.AI: https://mistral.ai/ Haystack: https://haystack.deepset.ai/ Weaviate: https://weaviate.io/ Mentioned but not used: LangChain https://www.langchain.com/ ChromaDB: https://www.trychroma.com/ #RAG #LLM #Mistral #Chainlit #Haystack #Weaviate #AI #MachineLearning #VectorDatabase #ArtificialIntelligence #TechTutorial #AIDevelopment #NaturalLanguageProcessing #DeepLearning Music from #Uppbeat (free for Creators!): https://uppbeat.io/t/zoo/clarity License code: SJUBJPYFYXF6SRMQ
Chainlit Tutorial: Build an AI Chatbot in Minutes with Python
Welcome to my latest tutorial! In this video, I'll show you how to create a fully functional AI chatbot using Chainlit, a Python library that makes chatbot development quick and effortless. Say goodbye to lengthy setups and hello to sleek, ChatGPT-like designs! 🔍 What You'll Learn: - Introduction to Chainlit: Understand how Chainlit simplifies chatbot creation. - Installation: Easily install Chainlit using pip. - Building Your Chatbot: Write minimal Python code to set up your chatbot. - Advanced Features: Add images, action buttons, and interactive elements. Integrate OpenAI: Connect your chatbot with OpenAI models for intelligent responses. 🔗 Useful Links: GitHub Repo & Tutorial: github.com/moe1047/chainlit-tutorial Chainlit Docs: chainlit.io/docs Thank you for watching! Let’s build something amazing together. 🤖✨ #Chainlit #AIChatbot #PythonTutorial #OpenAI #ChatGPT #TechTutorial #Programming