You will get Build a Fast & Accurate RAG Pipeline with LangChain, Vector DB & GPT
Project details
I specialize in building fast, accurate, and scalable Retrieval-Augmented Generation (RAG) pipelines that transform how businesses search, retrieve, and interact with their data.
What sets this project apart is my end-to-end expertise—from data ingestion and semantic search to optimized prompt engineering and cloud deployment—ensuring your system delivers highly relevant answers in milliseconds.
With 18+ years in AI/ML, GenAI, and cloud architecture, I’ve built production-grade AI platforms for education, recruitment, and enterprise knowledge management always focusing on speed, accuracy, and reliability.
Whether you’re a startup or an enterprise, I’ll deliver a custom RAG solution that’s ready for real-world use, not just a prototype.
What sets this project apart is my end-to-end expertise—from data ingestion and semantic search to optimized prompt engineering and cloud deployment—ensuring your system delivers highly relevant answers in milliseconds.
With 18+ years in AI/ML, GenAI, and cloud architecture, I’ve built production-grade AI platforms for education, recruitment, and enterprise knowledge management always focusing on speed, accuracy, and reliability.
Whether you’re a startup or an enterprise, I’ll deliver a custom RAG solution that’s ready for real-world use, not just a prototype.
AI Algorithms
Large Language Model, Multimodal Large Language ModelAI Applications
AI Chatbot, AI Text-to-Image, AI Text-to-Speech, Conversational AI, Natural Language UnderstandingAI Development Language
PythonAI Tools
Azure OpenAI, Copy.ai, GitHub Copilot, Hugging Face, Replit, Streamlit, TensorFlowAI Models
ChatGPT, DALL-E, GPT-4, LLaMA, Midjourney AI, OpenAI Codex, Stable DiffusionWhat's included
| Service Tiers |
Starter
$1,500
|
Standard
$3,000
|
Advanced
$5,000
|
|---|---|---|---|
| Delivery Time | 7 days | 15 days | 20 days |
Number of Revisions | 1 | 2 | 3 |
AI Model Integration | |||
Batch Normalization | - | - | - |
Database Integration | - | ||
Detailed Code Comments | - | - | |
Image Upscaling | - | - | - |
MLOps | - | - | |
Model Deployment | - | ||
Model Documentation | - | - | - |
Model Monitoring | - | - | |
Model Testing & Optimization | - | - | - |
Model Tuning | - | - | - |
Natural Language Processing | - | ||
NLP Tokenization | - | - | - |
Pre-Training | - | - | - |
Prompt Engineering | |||
Setup File | - | ||
Source Code |
About Krishna
AI & GenAI Solutions | RAG, LangChain, STT & TTS, Avatars, Cloud, SaaS
Bengaluru, India - 9:57 am local time
Recent highlights:
• HeyNick.ai – GenAI tutoring platform for 3,000+ K-12 students, using GPT-4, LangChain, RAG, and vector DBs to deliver ~92% accurate contextual answers in under 150 ms.
• NovelHire.com & NovelSync.com – AI-driven recruitment and skill assessment systems with resume matching, automated interview Q&A, and analytics that cut hiring time by ~50% and improved evaluation accuracy.
What I can build for you:
• RAG pipelines with LangChain, OpenAI, LLaMA, Claude, Pinecone, Weaviate, Vertex AI Search.
• LLM applications & agents for chatbots, tutoring, knowledge assistants, recruiting, and internal tools.
• Cloud-native SaaS platforms on AWS ECS/Fargate, Azure, or GCP with PostgreSQL, Redis.
• Full-stack apps using Python (FastAPI), Node.js, React, Next.js, Material UI.
• AI integration & automation into your existing product and workflows (analytics, skill mapping, document intelligence, etc.).
Core skills & keywords: GenAI · AI Agents · LangChain · RAG · LLM Apps · Vector Databases · Cloud SaaS · OpenAI GPT-4 · Claude 3 · LLaMA 3 · FastAPI · Python · React · Next.js · AWS · Azure · GCP.
I combine deep AI/ML expertise with scalable architecture and a business-focused mindset, so your AI project is not just a demo—it's reliable, maintainable, and ROI-driven.
If you're looking to launch or upgrade an AI-powered product, I'm happy to start with a small, clearly scoped milestone or POC so you can validate value quickly.
Steps for completing your project
After purchasing the project, send requirements so Krishna can start the project.
Delivery time starts when Krishna receives requirements from you.
Krishna works on your project following the steps below.
Revisions may occur after the delivery date.
Understand Your Data & Goals
We’ll start by discussing your objectives and reviewing your data sources to ensure the RAG pipeline is designed for maximum accuracy and speed.