I will build a production ready rag chatbot

Certaines informations sont présentées en anglais.

Inde

Je parle Hindi, Anglais

AI and ML Engineer , LangChain , RAG , FastAPI , LangGraph

Hi, I'm Vinay — a AI/ML engineering who builds and ships real AI products, not just tutorials. My focus is full-stack AI systems: intelligent agents, RAG-powered chatbots, and LLM-backed APIs that act...
À propos de ce service

ooking for a chatbot that actually knows your data? This gig delivers a full Retrieval-Augmented Generation (RAG) pipeline not a basic wrapper around ChatGPT, but a real system with document ingestion, vector search, and a clean API endpoint your frontend can call.

What you get:

Document ingestion from PDF, TXT, or URL sources

Vector storage with ChromaDB or FAISS (your choice)

LangChain RetrievalQA chain with memory

FastAPI backend with clean REST endpoints

Dockerized and ready to deploy (Render, Railway, AWS)

UI included (Standard & Premium)

Clean GitHub repo with README, .env template, and folder structure


I use production-grade practices: structured logging, Pydantic settings, type hints, and pinned dependencies. This won't be spaghetti code you're afraid to touch.

Expertise:

Apprentissage des fonctionnalités

Classification

Frameworks:

Scikit-learn

keras

Panda

Type de données:

Texte

Langage de programmation:

Python

SQL

Outils:

Jupyter Notebook

Excel

Colab

APIs:

OpenAI