LiveQuery GPT-4 – Chatbot with Real-Time Search

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I'd like to share ChatGPT-Live, a project I built to extend the capabilities of GPT-4 (or GPT-3.5 turbo) by allowing it to access live data from the Internet. Leveraging the power of LangChain's Conversational ReAct technology and the simplicity of the Gradio interface, the implementation is dead simple. While the recent announcement of the ChatGPT plugin definitely reduced the need for this specific use case, I hope ChatGPT-Live serves as an example to show case the versatility of LangChain and demonstrates how easy it is to build generative AI applications. I hope you guys still finds it valuable in a certain way and I'm eager to hear your thoughts and feedback!

Visit product View on Hacker NewsMar 24, 2023

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Product HuntOn track for Day 1 leaderboard · Strong signals: chatgpt · Missing: mac, agents, macos

86%86% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

best fitHighest predicted score across all platforms for this description.

Indie HackersFits the IH revenue-focused audience · Missing: supports, reddit linkedin, podcasting

70%70% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.

AppSumoStrong fit for a featured deal · Strong signals: interface · Missing: plus, platform, intuitive

62%62% predicted probability of success on AppSumo, based on ML models trained on real launch data.

Hacker NewsMay not resonate with HN audience · Strong signals: lua, io · Missing: https docs, excited, just released

46%46% predicted probability of success on Hacker News, based on ML models trained on real launch data.

nativeThis product was originally launched on this platform.

TrustMRRLess likely to generate early MRR · Strong signals: way · Missing: mobile apps, ios, personal

38%38% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

Acquire.comPre-revenue stage for this audience · Missing: arr, mrr, revenue

13%13% predicted probability of success on Acquire.com, based on ML models trained on real launch data.

BetaListMay not resonate with beta-testers · Strong signals: chat · Missing: web3, crypto, cryptocurrency

3%3% predicted probability of success on BetaList, based on ML models trained on real launch data.

Correct prediction on native model

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