I will build rag application using llms, gpt openai model ai chatbot agents for saas

Initial Consultation: Reach out to me to discuss your project requirements and goals. Project Proposal: Based on our discussion, I will provide a detailed project proposal, outlining the scope, timeline, and cost. Agreement: Agreement on price and get started Regular updates

I specialize in a wide range of chatbot-related tasks, including but not limited to: Building and customizing GPT models Developing transformer-based models Creating bespoke models such as LLama and Gemini Implementing advanced workflow automation with Flowise Integrating AI with social media

RAG (Retrieval Augmented Generation) is an advanced AI framework that combines the power of large language models (LLMs) like GPT, Claude, and Llama with your specific business knowledge base. Unlike standard chatbots, RAG applications can access, understand, and leverage your proprietary data to pr

The development timeline for a custom RAG application varies based on complexity, but most projects follow this schedule: Initial consultation and requirements gathering: 1-2 days Data preparation and vector database setup (Pinecone, Weaviate, etc.): 2-3 days LLM integration and prompt engineering:

My RAG implementations stand out through: Advanced vector embedding techniques that optimize retrieval accuracy Multi-modal capabilities allowing your system to process text, images, and structured data Hybrid search architecture combining semantic and keyword-based approaches LLM-orchestration usi