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This PR consists of a Node.js example application that uses vector embeddings with the
embedJs
RAG module to store the text from various sources in the in-memory vector database, retrieve them with similarity search, and inference results with Ollama Large Language Models.The main motivation for including Ollama is on the open-source and local running of the RAG applications.
Local embeddings codes have been removed from the PR, and only Ollama's new model-specific changes are maintained.
VCS has structured the README content table a bit. I intended to add only the Ollama part.