I will build ai rag system, ai chatbots with llm apis or langchain

I will build custom AI LLM RAG assistants, chatbots, pipelines, and RAG systems that use Retrieval-Augmented Generation (RAG) to enhance LLM responses, to generate relevant, complete, and accurate answers from your own data using Advanced RAG, LLM APIs, and LangChain.

What I Offer:

• Custom RAG Systems/Pipeline For Your Use Case: Build RAG systems in Python using local/open-source or frontier LLMs (GPT, Claude, Gemini, LLaMA, Grok), with vector databases (ChromaDB, etc.) and embedding models (Hugging Face, OpenAI).
• Adv. RAG: Improve answers using smart chunking (semantic through LLM, etc.), query rewriting, expansion, reranking, improved prompting/query, and LLM context utilization.
• Document Handling/Data Ingestion/Preprocessing: PDFs, DOCX, CSVs, TXT, XML, Databases, images (OCR), and audio into searchable knowledge.
• RAG Evals: Evaluate performance using RAG metrics and LLM-as-Judge
• Interfaces: Gradio UI interface or any other.
• Source Code: Well-commented Python Code.

Use Cases:

• Internal business knowledge AI Chatbot
• Customer support AI Assistant
• Private Data Search

Why me?

• Focus on Value | I am willing to work for Free to demonstrate value for the first project.

Message Now!