Machine Learning, Database, Docker, Langchain, Go.
datasets (e.g. a 100 MB PDF file) into smaller parts (for indexing). Create embeddings — This involves using an embedding model to convert data into their numerical representations. Store/Index embeddings in a vector store Ultimately, this is integration as part of a larger application where the