Towhee is a framework that is dedicated to making neural data processing pipelines simple and fast.
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Updated
Jan 20, 2024 - Python
Towhee is a framework that is dedicated to making neural data processing pipelines simple and fast.
A FastAPI service for semantic text search using precomputed embeddings and advanced similarity measures, with built-in support for various file types through textract.
Extract knowledge from all information sources using gpt and other language models. Index and make Q&A session with information sources.
Plugin that lets you use LM Studio to ask questions about your documents including audio and video files.
RAG with langchain using Amazon Bedrock and Amazon OpenSearch
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.
A monolingual and cross-lingual meta-embedding generation and evaluation framework
Vectory provides a collection of tools to track and compare embedding versions.
Sentiment analyzer for your tweets.
LLM Chatbot w/ Retrieval Augmented Generation using Llamaindex. It demonstrates how to impl. chunking, indexing, and source citation.
Upload personal docs and Chat with your PDF files with this GPT4-powered app. Built with LangChain, Pinecone Vector Database, deployed on Streamlit
Vector Embedding Server in under 100 lines of code
Interactive chat application leveraging OpenAI's GPT-4 for real-time conversation simulations. Built with Flask, this project showcases streaming LLM responses in a user-friendly web interface.
Improving Document Classification with Multi-Sense Embeddings Source Code (ECAI 2020)
Multilingual Semantic Search with Reranking on a prepared large vectorized dataset comprising 10 million Wikipedia documents. It supports dense retrieval, keyword search, and hybrid search.
A simple python tool for embedding comparison
A basic web interface for your personal Q&A bot with documents, based on KnowledgeGPT
⚡ Scalable recommendation serving and vector similarity search
Two approaches to generating optimized embeddings in the Retrieval-Augmented Generation (RAG) Pattern
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