I will build custom rag chatbot with lang chain and python
About this Gig
Are you looking to build an intelligent AI chatbot that can accurately answer questions using your company's private documents, PDFs, or database? You've come to the right place!
I specialize in Retrieval-Augmented Generation (RAG) architecture using LangChain, LlamaIndex, OpenAI, and vector databases (Pinecone, ChromaDB, FAISS). I build custom AI bots that provide accurate, hallucination-free answers based strictly on your provided context.
What I Offer:
Custom RAG Chatbot Development using LangChain & Python
PDF, Docx, CSV, and Webpage Document QA Systems
Vector Database Integration (Pinecone, Chroma, Qdrant, FAISS)
LLM Fine-Tuning & Prompt Engineering (OpenAI, Claude, Llama 3)
User Interface & API Integration (Streamlit, Gradio, FastAPI)
### Supported Data Sources:
Internal Knowledge Bases & PDFs
SQL & NoSQL Databases
Webpages, Notion, & Google Drive
Why Work With Me?
Zero-hallucination models focused on strict context retrieval
Well-structured, fully documented Python code
Complete setup guidance and post-delivery support
Please contact me before placing an order to discuss your dataset and project scope!
Expertise:
Image processing
•
Churn
•
Clustering
•
App development
Programming language:
Python
Frameworks:
Scikit-learn
•
DeepPy
•
Google ML Kit
APIs:
Microsoft Computer Vision AI
•
Amazon Rekognition
Tools:
Jupyter Notebook
•
OpenCV
•
TensorFlow
