I will implement a rag system with openai API

C
chiragpatel96
C
chiragpatel96
Chirag P
Alcune informazioni sono riportate in lingua inglese.
implement a rag system with openai API
Schermo intero
implement a rag system with openai API

Informazioni su questo servizio

  • This project will leverage retrieval-augmented generation (RAG) techniques in conjunction with artificial intelligence (AI).
  • A vector database will be used to store the documents.
  • A focus might be on building a system that retrieves relevant passages from a knowledge base and uses the LLM to answer user questions accurately.

  • Tipo di applicazione

    • Applicazione web

  • Framework desktop

    • Electron

  • Tipo IA

    • Chat
    • Acquisti
    • Consegna
    • Prenotazione
    • Ristorante
    • Salute e Benessere
    • Istruzione
    • social networking
    • Spettacolo
    • incontri
    • Mappe e navigazione
    • Finanza
    • Medico
    • Taxi
    • Viaggi
    • Lifestyle
    • Streaming
    • Musica
    • Strumenti di produttività
    • E-commerce
    • Personalizzato
    • Settore immobiliare
    • Trading
    • App Wallet

  • Linguaggio di programmazione

    • JavaScript
    • Python

  • Framework Web

    • React
    • Django
    • Next.js

  • Builder no e low-code

    • Lovable
    • Altro

Scopri di più su Chirag P

Chirag P

Technical Lead

5,0(12)
  • DaIndia
  • Membro dagiu 2019
  • Ultima consegna5 anni

  • Lingue

    Gujarati, Inglese, Hindi
I am a Technical Lead — Backend, DevOps & AI Engineering having 7+ years of experience. • AI / LLM Systems – LangGraph, LangSmith, RAG Pipelines, Tavily, CopilotKit, Prompt Engineering, Vector Databases, LLM Agents • Backend Engineering – Python, Django, Django Rest Framework, FastAPI, GoLang, Flask, Celery, Microservices, Event-Driven Systems • DevOps & Cloud – AWS, GCP, Docker, Kubernetes, GitHub Actions, Jenkins, Terraform, GitOps, CI/CD Pipelines, Linux • Databases – PostgreSQL, MongoDB, TimescaleDB, Redis • Frontend – React, Next.js, Vue.js, Angular

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