AI Knowledge Assistant for Company Documents (RAG Chatbot) by Ashish ChaudharyAI Knowledge Assistant for Company Documents (RAG Chatbot) by Ashish Chaudhary
AI Knowledge Assistant for Company Documents (RAG Chatbot)Ashish Chaudhary
Cover image for AI Knowledge Assistant for Company Documents (RAG Chatbot)
I build AI-powered knowledge assistants that allow companies to chat with their internal documents.
Using Retrieval-Augmented Generation (RAG), your team can upload PDFs, reports, policies, research papers, or product documentation and instantly get accurate answers with citations.
This system indexes documents into a vector database and retrieves the most relevant information before generating responses with advanced LLMs.
Key Capabilities • Upload PDFs, research papers, and company documents • AI-powered semantic search across documents • Chat interface for asking questions • Responses with source citations • Secure document indexing and retrieval • Scalable backend API for enterprise deployment
Tech Stack Python, FastAPI, LangChain/LlamaIndex, Chroma/Pinecone, OpenAI or Claude, Streamlit or React.
Ideal For Startups, research teams, SaaS companies, consulting firms, and enterprises with large internal knowledge bases.
FAQs
Yes. The system can be deployed privately on your infrastructure.
The architecture supports thousands of documents depending on the vector database used.
Ashish's other services
Cover image for Real-Time AI Voice Assistant for Websites & Applications
Real-Time AI Voice Assistant for Websites & Applications$1,000
Cover image for AI Research Agent
AI Research Agent$1,500
Starting at$1,000
Duration2 weeks
Tags
FastAPI
LangChain
Python
AI Engineering
Document AI
Enterprise AI
LLM Applications
RAG Systems
Vector Databases
Service provided by
Ashish Chaudhary Lucknow, India
AI Knowledge Assistant for Company Documents (RAG Chatbot)Ashish Chaudhary
Starting at$1,000
Duration2 weeks
Tags
FastAPI
LangChain
Python
AI Engineering
Document AI
Enterprise AI
LLM Applications
RAG Systems
Vector Databases
Cover image for AI Knowledge Assistant for Company Documents (RAG Chatbot)
I build AI-powered knowledge assistants that allow companies to chat with their internal documents.
Using Retrieval-Augmented Generation (RAG), your team can upload PDFs, reports, policies, research papers, or product documentation and instantly get accurate answers with citations.
This system indexes documents into a vector database and retrieves the most relevant information before generating responses with advanced LLMs.
Key Capabilities • Upload PDFs, research papers, and company documents • AI-powered semantic search across documents • Chat interface for asking questions • Responses with source citations • Secure document indexing and retrieval • Scalable backend API for enterprise deployment
Tech Stack Python, FastAPI, LangChain/LlamaIndex, Chroma/Pinecone, OpenAI or Claude, Streamlit or React.
Ideal For Startups, research teams, SaaS companies, consulting firms, and enterprises with large internal knowledge bases.
FAQs
Yes. The system can be deployed privately on your infrastructure.
The architecture supports thousands of documents depending on the vector database used.
Ashish's other services
Cover image for Real-Time AI Voice Assistant for Websites & Applications
Real-Time AI Voice Assistant for Websites & Applications$1,000
Cover image for AI Research Agent
AI Research Agent$1,500
$1,000