video1.0<iframe src="https://www.loom.com/embed/02833f38e3a6461983a2d7c3a3a570b8" frameborder="0" width="2560" height="1920" webkitallowfullscreen mozallowfullscreen allowfullscreen></iframe>19202560Loomhttps://www.loom.com19202560https://cdn.loom.com/sessions/thumbnails/02833f38e3a6461983a2d7c3a3a570b8-00001.gif1454.03This code utilizes Open AI GPT, Langchain, Redis Cache, OpenSearch and Unstructured to fetch content from URLs, sitemap, PDF, Powerpoint, Notion doc and images to create embeddings/vectors and save them in a local OpenSearch database. The created collections can then be used with GPT to answer questions. More details on our repo: https://github.com/voiceflow/demos-n-examples/tree/master/langchain-local-knowledgebase