Explore innovative projects that showcase the power of generative AI. These case studies highlight real-world applications, demonstrating how generative AI can transform industries, enhance creativity, and solve complex problems. Dive into the details of each project to understand the methodologies, technologies used, and the impact achieved.
Build a production-ready Retrieval-Augmented Generation (RAG) pipeline with advanced features such as hybrid search (vector + keyword), multi-turn conversation memory, and enterprise-level authentication for accurate knowledge retrieval.
Develop a multi-agent collaboration platform where specialized agents (planner, researcher, executor, validator) work together to solve complex problems like code generation, code debugging, or business workflows.
Train a specific domain (finance, healthcare, legal, or education) and fine-tune a foundation LLM for domain-specific tasks like text classification or compliance checks, then deploy it with APIs.
Create a coding productivity tool with features like chat, complex code debugging suggestions, text generation, and inline documentation powered by LLMs and real-time developer context.
Design an app that combines text, images, and audio — e.g., generate presentations from text prompts, create an audio (podcast) with voice clones, or build an “AI lecture companion” with slides + narration.
Integrate graph databases with LLMs to build an intelligent assistant capable of reasoning over structured + unstructured data. Use cases: enterprise knowledge search, fraud detection, or academic research aid.
