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Explore Flowise + Vectara Tutorial - Build a Chatbot Powered by AI (OpenAI - ChatGPT, LangChain, LLM) with 4,338 views, 62 likes, and 15 comments. Experience the impact of this video content that has captured audience attention.

TLDR; Learn how to build a "Chat with your PDF" Chatbot using Flowise, Vectara, OpenAI (ChatGPT), & LangChain in just 4 minutes. *** Overview *** Flowise is an open-source UI tool that empowers you to build personalized LLM flows effortlessly using a user-friendly drag-and-drop interface. At its core, Flowise uses LangchainJS and Typescript to offer a swift, seamless setup with flexible component integration. Vectara is a platform for building GenAI applications. It provides an easy-to-use API for document indexing and querying that is managed by Vectara and is optimized for performance and accuracy. In this example, we use one of the great features of Vectara - hybrid search, which combines the strengths of semantic/neural search with exact ("keyword") matching, and balancing between them to achieve the best relevance of results with Grounded Generation. When combined with Vectara, Flowise streamlines document uploading and indexing, eliminating the need for any coding. This video tutorial guides you through the setup of a Flowise chatflow using Vectara and OpenAI. By the end of this tutorial, you’ll be able to engage in dynamic conversations with the content of your PDFs, asking questions in natural language and getting natural language "Answers" in return (not search results). Welcome to the era of AI! *** Here's the syntax of commands you'll need *** Run the following commands to start Flowise: 1. Install Flowise: npm install -g flowise 2. Start Flowise: npx flowise start 3. Open http://localhost:3000 in your browser *** Jump to your desired section *** 00:04 - Install Flowise 00:21 - Open the Flowise console in your Browser 00:30 - Add the "Vectara Upsert Document" component to your flow 00:37 -- Add the "PDF Document Loader" component to your flow 00:44 - Link the PDF component with the Vectara component 00:50 - Add the "ChatOpenAI" component to your flow 00:57 - Add the "QA Chain" component to your flow 01:11 - Connect the Vectara and ChatOpenAI components to the QA Chain 01:17 - Open your Vectara console and create a new Corpus (https://console.vectara.com/console) 01:27 - Navigate to the Authorization tab and create an API key 01:40 - Copy the API key, Corpus ID, and Customer ID and paste them into the credentials section of the Vectara Upsert Document component in Flowise 02:10 - Create and copy your OpenAI API key into the credentials section of the ChatOpenAI component in Flowise (https://platform.openai.com/account/api-keys) 02:41 - Find a PDF to use and upload it into the PDF component in your flow 03:13 - Save your chatflow 03:20 - Open the chat and ask questions about your PDF. See LIVE examples of this here. *** SAMPLE APPS *** Experience the power of Generative AI, LLMs, and best-in-class retrieval/hybrid search via Vectara sample apps: ** ASK FEYNMAN ** - Ask renowned CalTech physics instructor any physics question from the corpus from his newly released archive: https://askfeynman.demo.vectara.com/ ** ASK NEWS ** - Ask questions about recent news events and get AI-generated answer summaries to your questions via AskNews: https://asknews.demo.vectara.com/ ** ASK HBS.edu ** - Ask any question about the Harvard Business School from HSB.edu and get AI-generated answer summaries to your questions via AskHBS: https://askhbs.demo.vectara.com/ ** ASK Stanford.edu ** - Ask any question about the Stanford student life from https://studentservices.stanford.edu/ and get AI-generated answer summaries to your questions via AskStanford: https://askstanford.demo.vectara.com/ ** ASK UCLA.edu ** - Ask any question about UCLA admissions and get AI-generated answer summaries to your questions via AskUCLA: https://askucla.demo.vectara.com/ ** Try Vectara for FREE ** Start your Free Plan Account at vectara.com. Or visit: https://console.vectara.com/signup Most projects are covered by our Free Growth plan (50 MB, 15k queries/mo). ** DEVELOPER Resources ** Join our Discord https://discord.gg/GFb8gMz6UH Read our API documentation https://docs.vectara.com/ Join the Vectara Developer Community - https://discuss.vectara.com/ ** Vectara Product Links ** Take an interactive “ 5-minute Product Tour” of Vectara - https://vectara.com/tour-vectara/ Watch the “Getting Started with Vectara” Videos - https://vectara.com/developers/getting-started/#videos ** Social Channels ** https://twitter.com/vectara https://www.linkedin.com/company/vectara/mycompany/ https://www.youtube.com/@vectara ** LLM Learning Resources ** Learn about Vectara’s “Grounded Generation” product release (5/30/2023) https://vectara.com/grounded-generation-making-generative-ai-safe-trustworthy-more-relevant/ Learn about LLM “Hallucinations” https://vectara.com/avoiding-hallucinations-in-llm-powered-applications/ Learn about Semantic Search and Neural Information Retrieval https://www.youtube.com/watch?v=zXBp69JzHhk&t=0s

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