#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#Gurubase lets you add an "Ask AI" button to your technical docs, turning your content into an AI assistant. It uses web pages, PDFs, YouTube videos, and GitHub repos as sources to generate instant, ac...
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.