A semantic search application built using FastAPI, Pinecone, and Sentence Transformers to match questions from Quora dataset.
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Updated
Jan 2, 2025 - Jupyter Notebook
A semantic search application built using FastAPI, Pinecone, and Sentence Transformers to match questions from Quora dataset.
Semantic search web app using the Large Language Model (LLM) Cohere for embeddings to match context and meaning, rather than keywords.
An open-source platform democratizing Generative AI Applications. Build and deploy AI-powered tools without extensive expertise. Features flexible data integration, semantic search, and LLM integration. Create sophisticated AI applications using your private knowledge bases.
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🤖 That's a simple LLM semantic search that implements RAG concepts with help of LangChain and OpenAI API.
Language of Vectors (LangVec) is a simple Python library designed for transforming numerical vector data into a language-like structure using a predefined set of words (lexicon).
The goal of this project is to build a small Discord Bot that search messages in discord channels. It does semantic search along simple word search. It is compatible with multiple LLM Semantic Models, like Bert or e5 for instance.
AI-Spaces integrates React, Redux Toolkit, and FastAPI to build an advanced platform for interacting with AI models. Users can input questions or upload documents to receive precise, AI-driven summaries, creating a seamless and intuitive experience for modern web applications.
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