Towhee is a framework that is dedicated to making neural data processing pipelines simple and fast.
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Updated
May 26, 2023 - Python
Towhee is a framework that is dedicated to making neural data processing pipelines simple and fast.
Score documents using embedding-vectors dot-product or cosine-similarity with ES Lucene engine
Extract knowledge from all information sources using gpt and other language models. Index and make Q&A session with information sources.
Main NNext Application Code
GUI for editing LLM vector embeddings built by IngestAI.io. Upload content in any file extension, join or split chunks, edit metadata, edit embedding tokens + remove stop-words and punctuation with one click, and download in .veml
A monolingual and cross-lingual meta-embedding generation and evaluation framework
Sentiment analyzer for your tweets.
Vectory provides a collection of tools to track and compare embedding versions.
DadmaTools is a Persian NLP tools developed by Dadmatech Co.
langchain-chat is an AI-driven Q&A system that leverages OpenAI's GPT-4 model and FAISS for efficient document indexing. It loads and splits documents from websites or PDFs, remembers conversations, and provides accurate, context-aware answers based on the indexed data. Easy to set up and extend.
Vector Storage is a vector database that enables semantic similarity searches on text documents in the browser's local storage. It uses OpenAI embeddings to convert documents into vectors and allows searching for similar documents based on cosine similarity.
Personalize ChatGPT using LangChain, and get answers from your own documents and knowledge base.
Ruby wrapper for the Weaviate vector search database API
Improving Document Classification with Multi-Sense Embeddings Source Code (ECAI 2020)
Ruby wrapper for the Qdrant vector search database API
Ruby wrapper for the Milvus vector search database API
A library for machine learning models applied to Profile and Job data. http://riminder.net
A simple python tool for embedding comparison
Machine translation using LSTM Model. Created two translation models with/without attention mechanisms for translation between French-English and German-English.
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