I will build an ai rag chatbot using langchain, llm and vector database

Build an AI chatbot that can understand your PDFs, documents, or knowledge base using RAG (Retrieval-Augmented Generation) and LLMs.

I will develop a custom AI/RAG chatbot that retrieves relevant information from your documents and generates accurate, context-aware responses.

What I can build

PDF & document Q&A chatbot

Custom RAG AI chatbot

Knowledge-base assistant

Medical & research document assistant

AI customer-support chatbot

Semantic search & document retrieval

FastAPI AI backend

Streamlit chatbot interface

Technologies

Python, LangChain, LLMs, Hugging Face, Sentence Transformers, Pinecone, ChromaDB, FAISS, FastAPI, Streamlit, REST APIs, Vector Embeddings

How it works

Documents Text Extraction Chunking Embeddings Vector Database Semantic Retrieval LLM AI Response

What you will receive

Working RAG AI application

Document/PDF processing

LLM integration

Vector database integration

Embedding & retrieval pipeline

Backend API

Chat interface

Clean Python code

Setup documentation

I can customize the chatbot according to your documents, business requirements, and preferred AI model.

Please contact me before ordering so I can understand your requirements and recommend the right solution