We'll explore the innovative integration of OpenSearch and LangChain to search podcast transcriptions. This approach aims to enable interactive queries on podcast content through a chatbot interface, leveraging advanced AI techniques. The foundation of this work is the Retrieval-Augmented Generation (RAG) pattern, which is essential for extracting precise information from large language models (LLMs). The process begins with applying the Whisper model to generate accurate podcast transcripts. Subsequently, the LangChain component is utilized for effective data segmentation. The segmented data is then stored in OpenSearch, facilitating efficient similarity search capabilities. This comprehensive methodology promises to revolutionize the accessibility and interaction with podcast content.