I will build rag chatbot using agentic, langchain, llamaindex with citations

I will build intelligent, scalable chatbots using RAG (Retrieval-Augmented Generation) or Multimodal RAG with cutting-edge LLMs.

Not only RAG but also detailed RAG evaluation for accuracy and precision.

I specialize in NLP, LLM fine-tuning, and advanced chatbot development, delivering context-rich, domain-specific AI solutions that integrate seamlessly with your data.

Services Offered:

• RAG Chatbots using LangChain/LangGraph/LlamaIndex
• RAG with different data sources like internet search, Wikipedia, YouTube, SQL/No-SQL databases, or Vector DBs (Pinecone, FAISS, ChromaDB).
• Search with text, voice, or Image.
• Multimodal Chatbots handling text, PDFs, images, tables, audio, video etc.
• LLM Fine-Tuning for specific domains
• Knowledge Base Integration with scalable document retrieval
• Conversational AI with memory, tool use & custom workflows

️ Tools & Stack: OpenAI · LangChain · LlamaIndex · Pinecone · FAISS · ChromaDB · Hugging Face · Transformers · Streamlit · FastAPI · Python, and much more

I also optimize existing RAG systems by improving retrieval accuracy, reducing hallucinations, strengthening answer quality, and testing performance with structured evaluation.