How to Build a Full-Stack RAG Powered Smart Web Searching AI Tool using Tavily, Langchain & Mistral

In this video, we craft a full-stack application from the ground up, utilizing the Tavily Search API for fast, accurate, and RAG-optimized AI-enhanced search results. We also briefly discuss the integration of the Retrieval-Augmented Generation (RAG) technique and harness the power of the #mistral model as our Large Language Model (LLM) #llm , which runs on the #Groq LPU for unmatched processing speed and efficiency. The AI stacks are seamlessly orchestrated using the langchain Python package. #langchain
Additionally, we will also develop a dynamic app featuring a Python #FastAPI backend and a #Reactjs frontend, all facilitated by the databutton online platform. The frontend is designed with the potential for further enhancements and expansion. This tutorial is presented as a demo app, with minimal video edits for clarity.
Tavily - docs.tavily.com
LangChain Tavily retreiver - python.langchain.com/docs/int...
groq - wow.groq.com/about-us/
mistral ai - mistral.ai
Databutton - www.databutton.io
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[@Avra_b]

Code - github.com/avrabyt/Web-Search-with-RAG/tree/main

[@verifmobile597]

Hi, great job, can you leave me your email to contact you.

[@Avra_b]

@@verifmobile597thanks I appreciate :)

[@PaddyBrennan-mx8hi]

Love this - thank you ! Groq is insane ! Can you query your own docs using this ?

[@Avra_b]

Yes for sure !

[@ritaverissimo1720]

Hi, does Data Button only work with Python in backend or can it be set to use Javascript for example? Thanks :)

[@Avra_b]

Databutton uses Python as the backed . And react / JS as the frontend .

[@ritaverissimo1720]

@@Avra_b Any chance you'll develop a javascript backend knowledge in your roadmap? ;)

[@Avra_b]

I’m afraid not at present !

[@ritaverissimo1720]

@@Avra_b Ok 😀

[@user-yo8ik4kt7w]

Api is open source?

[@Avra_b]

Yes !

[@oguzhanylmaz4586]

Can it be run without internet?

[@Avra_b]

Unfortunately not