Build Enterprise AI Assistants: RAG Online Training by GoLogica

There are thousands of documents, customer records, technical manuals, internal reports, etc. in a company. It takes time to search through files for employees to get answers. RAG (Retrieval-Augmented Generation) tackles this challenge by integrating external business data with Large Language Models (LLMs) to create more relevant and contextually grounded answers, mitigating the occurrence of unsupported AI responses.RAG (Retrieval-Augmented Generation) is a solution that helps overcome this challenge by combining external business data with LLMs to produce more relevant and contextually grounded answers, addressing the issue of unsupported AI responses. GoLogica RAG Application Development Online Training teach you how to transform this architecture into applications based on real world deployment needs. You will have practical experience in implementing: Data Ingestion & Vector Databases: Document processing, intelligent text chunking, embeddings, and Pinecone, ChromaDB, & Milvus integration. Search & Orchestration: Semantic search, Hybrid search, Cross-encoder reranking, and Context management with LangChain and LlamaIndex. Production & Evaluation: Quickly build, cite from sources, Agentic RAG workflows, and evaluation of retrieval with RAGAS. This course is intended for Python developers, software engineers, AI enthusiasts, data professionals, graduates, and cloud practitioners who would like to build enterprise AI solutions. The technical exercises will be easier to follow with knowledge of basic Python and REST API. You will learn to create applications including an enterprise PDF knowledge assistant and an automated support ticket resolver through live and instructor-led training, technical demonstrations and capstone projects. For those looking at RAG Application Development Certification Training, they can also talk about relevant AI and cloud certification preparation pathways. Looking to take your chatbot up a notch? To know about the upcoming timing of the batches and detailed RAG syllabus of each module, request it now from GoLogica.