A FastAPI service for semantic text search using precomputed embeddings and advanced similarity measures, with built-in support for various file types through textract.
#向量搜索引擎#A Python vector database you just need - no more, no less.
#搜索#A curated list of awesome works related to high dimensional structure/vector search & database
#向量搜索引擎#VQLite - Simple and Lightweight Vector Search Engine based on Google ScaNN
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...
#大语言模型#The ChatGPT Long Term Memory package is a powerful tool designed to empower your projects with the ability to handle a large number of simultaneous users and external sources.
Cottontail DB is a column store vector database aimed at multimedia retrieval. It allows for classical boolean as well as vector-space retrieval (nearest neighbour search) used in similarity search us...
#搜索#A pure Python-implemented, lightweight, server-optional, multi-end compatible, vector database deployable locally or remotely.
#搜索#Serverless, lightweight, and fast vector database on top of DynamoDB
Vector Embedding Server in under 100 lines of code
#搜索#Shotit is a screenshot-to-video search engine tailored for TV & Film, blazing-fast and compute-efficient.
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...
#搜索#The ultimate brain of Shotit, in charge of task coordination.
#搜索#Four core workers of shotit: watcher, hasher, loader and searcher.
Unsupervised Video Summarization via Successor Embeddings
#搜索#Provide meta information and utility for shotit, for example, image proxy, cast and poster etc.
#搜索#The frontend of shotit, with full documentation.
#搜索#Media broker for serving video preview for shotit
#搜索#Sort the search results of Shotit to increase the correctness of Top1 result by using Keras and Faiss.