I will production rag system, semantic search, vector db and API


About this gig
Stop your AI from hallucinating! I will build & deploy a powerful, production-ready Advanced RAG (Retrieval-Augmented Generation) system for your custom data. Go beyond basic chatbots with enhanced accuracy, context, and source citation.
What You Get:
Custom Data Ingestion: PDFs, websites, docs, databases.
Advanced Chunking & Embeddings: For superior semantic search.
Hybrid/Vector Search: Combines keyword + semantic for precision.
Re-ranking: Filters top results for the most relevant LLM context.
Source Attribution: Every answer includes its reference.
Scalable Vector DB: Pinecone, Weaviate, or ChromaDB for fast, low-latency retrieval.
Production Ready: Includes monitoring, caching (Redis), and API (FastAPI/LLamaIndex) + UI (Streamlit/Gradio).
Cloud: Deploys on AWS
Ideal for custom AI chatbots, internal knowledge bases, and enterprise Q&A systems. Get a scalable, documented, and secure solution tailored to your data.
RAG System, Cloud Agnostic, AWS, GCP, LLM, Vector Database, Pinecone, ChromaDB, LangChain, LlamaIndex, AI Chatbot, Semantic Search, Kubernetes, Docker, API Deployment, Custom Knowledge Base, OpenAI, Hugging Face, Source Citation.
Get to know Gautam
Data Scientist, AI Solution Architect, Machine Learning, GenAI Expert
- FromIndia
- Member sinceMar 2023
- Avg. response time3 hours
- Last delivery9 months
Languages
Hindi, English
My Portfolio
FAQ
How do Agentic AI agents differ from chatbots?
They autonomously analyze data, make decisions, and act—not just follow scripts
Do you offer post-deployment support?
Absolutely. Premium packages include 3 months of free maintenance 7.

