There are 0 repository under text-embeddings topic.
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
🔎 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.
Open Source Text Embedding Models with OpenAI Compatible API
Interactive tree-maps with SBERT & Hierarchical Clustering (HAC)
Go module for fetching embeddings from embeddings providers
Code implementation for our ICPR, 2020 paper titled "Improving Word Recognition using Multiple Hypotheses and Deep Embeddings"
Flask API for generating text embeddings using OpenAI or sentence_transformers
A pipeline to convert contextual knowledge stored in documents and databases into text embeddings, and store them in a vector store
I have improved the demo by using Azure OpenAI’s Embedding model (text-embedding-ada-002), which has a powerful word embedding capability. This model can also vectorize product key phrases and recommend products based on cosine similarity, but with better results. You can find the updated repo here.
Sentiment Analysis on the Amazon Reviews Dataset using BERT-based transfer learning approach.
A collection of scripts and utilities for working with Qdrant, OpenAI, and embeddings.
Easy embeddings for LLMs like gpt-3.5-turbo and gpt-4 using text-embedding-ada-002
Topic Embedding, Text Generation and Modeling using diffusion
Graph Attention Networks for Entity Summarization is the model that applies deep learning on graphs and ensemble learning on entity summarization tasks.
Text Embedding for Retrieval, Rerank and RAG
A lightweight Dolly-v2 powered assistant that can answer domain-specific questions and keep a conversation. It's expert systems in the era of LLMs.
M.Sc. mini project for NLP class (M908)
A search application using Aurora Postgresql and pgvector for an online retail store product catalog
Learn about text similarity measures & text embedding methods.
Dive into the world of text embeddings. This course will guide you through leveraging text embeddings to enhance various natural language processing (NLP) tasks.
Search using Attention based Sentence Transformers
Retrieve text embeddings, but cache them locally if we have already computed them.
This repository deals with vector database preparation.
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 app allows users to search for products by either entering text or uploading an image, and retrieves relevant products from a database