#大语言模型#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.
#大语言模型#Turn Your Content Into a 24/7 AI Support Assistant
Score documents using embedding-vectors dot-product or cosine-similarity with ES Lucene engine
#大语言模型#The Fast Vector Similarity Library is designed to provide efficient computation of various similarity measures between vectors.
#向量搜索引擎#Plugin that lets you ask questions about your documents including audio and video files.
#网络爬虫#Extract knowledge from all information sources using gpt and other language models. Index and make Q&A session with information sources.
#向量搜索引擎#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 s...
#自然语言处理#⚡ GUI for editing LLM vector embeddings. No more blind chunking. Upload content in any file extension, join and split chunks, edit metadata and embedding tokens + remove stop-words and punctuation wi...
RAG with langchain using Amazon Bedrock and Amazon OpenSearch
#向量搜索引擎#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 ...
#自然语言处理#DadmaTools is a Persian NLP tools developed by Dadmatech Co.
#大语言模型#AI Native database for embedding vectors
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, a...
A monolingual and cross-lingual meta-embedding generation and evaluation framework
#计算机科学#Vectory provides a collection of tools to track and compare embedding versions.
#自然语言处理#Sentiment analyzer for your tweets.
#计算机科学#Ruby wrapper for the Weaviate vector search database API
#计算机科学#Ruby wrapper for the Qdrant vector search database API
LLM Chatbot w/ Retrieval Augmented Generation using Llamaindex. It demonstrates how to impl. chunking, indexing, and source citation.