end-to-end image search app
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Updated
Jun 30, 2024 - TypeScript
end-to-end image search app
Infinity is a high-throughput, low-latency REST API for serving vector embeddings, supporting a wide range of text-embedding models and frameworks.
Train Models Contrastively in Pytorch
Topic Embedding, Text Generation and Modeling using diffusion
This project is a Q&A chatbot designed for the Global Academy of Technology (GAT), utilizing LLMs, Embeddings, RAG techniques and Prompt Engineering to provide accurate and context-aware responses to user queries about the college.
Evaluating state-of-the-art embedding models with domain-specific instructions to improve semantic representation and enhance explainability in semantic search.
Abuse detection in online conversations with text and graph embeddings
🔎 SimilaritySearchKit is a Swift package providing on-device text embeddings and semantic search functionality for iOS and macOS applications.
A client side vector search library that can embed, store, search, and cache vectors. Works on the browser and node. It outperforms OpenAI's text-embedding-ada-002 and is way faster than Pinecone and other VectorDBs.
Go module for fetching embeddings from embeddings providers
A Python-based search engine for OpenAI's ChatGPT conversation history, enabling efficient semantic search and interactive engagement with archived chats using text embeddings
This repository deals with vector database preparation.
Interactive tree-maps with SBERT & Hierarchical Clustering (HAC)
Mind-X is my intelligent alter ego that understands me the best. It assists with and resolves my bothersome tasks, growing in real-time as a next-generation PersonAI system.
A news insight synthesizer designed to cut the noise out of media consumption (using LLMs & text-embeddings)
This app allows users to search for products by either entering text or uploading an image, and retrieves relevant products from a database
Uses NLP & LSTM to detect insincere Quora Questions
Open Source Text Embedding Models with OpenAI Compatible API
Large language models offer new opportunities for processing and generating text. I used text embeddings, clustering, and the ChatGPT API to examine the reasons for startup failure.
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