Leverage the benefits of large language models without leaking sensitive information.
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Updated
Jan 4, 2024 - HTML
Leverage the benefits of large language models without leaking sensitive information.
Interact with various LLMs in your browser (LangChain.js, Angular)
Automatic embedding using mongo changestreams for Atlas Vector Search
This is a RAG implementation using Open Source stack. BioMistral 7B has been used to build this app along with PubMedBert as an embedding model, Qdrant as a self hosted Vector DB, and Langchain & Llama CPP as an orchestration frameworks.
Legal Assistant is an innovative application that leverages RAG (Retrieval-Augmented Generation) technology to deliver personalized legal advice and guidance based on Moroccan law.
Works like a Search Engine, a simple AI one on one chat using HuggingFace API
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