Topic: embedding-similarity Goto Github
Some thing interesting about embedding-similarity
Some thing interesting about embedding-similarity
embedding-similarity,A curated list of awesome works related to high dimensional structure/vector search & database
User: dangkhoasdc
embedding-similarity,A FastAPI service for semantic text search using precomputed embeddings and advanced similarity measures, with built-in support for various file types through textract.
User: dicklesworthstone
embedding-similarity,"if-then-else" over topics made up of free-form sentences. Build conversations, not LLM chains!
User: ekshaks
embedding-similarity,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.
User: elmiraghorbani
Home Page: https://pypi.org/project/chatgpt-long-term-memory
embedding-similarity,Serverless, lightweight, and fast vector database on top of DynamoDB
User: ericmillsio
embedding-similarity,A Python vector database you just need - no more, no less.
Organization: jina-ai
embedding-similarity,Unsupervised Video Summarization via Successor Embeddings
User: joelwk
embedding-similarity,A cloud-native vector database, storage for next generation AI applications
Organization: milvus-io
Home Page: https://milvus.io
embedding-similarity,Search for code by what it does in natural language, using machine learning embeddings.
User: netruk44
embedding-similarity,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.
User: seven-33
embedding-similarity,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.
User: shamspias
embedding-similarity,The README profile of Shotit.
Organization: shotit
Home Page: https://shotit.github.io/
embedding-similarity,Shotit is a screenshot-to-video search engine tailored for TV & Film, blazing-fast and compute-efficient.
Organization: shotit
Home Page: https://shotit.github.io
embedding-similarity,The ultimate brain of Shotit, in charge of task coordination.
Organization: shotit
Home Page: https://shotit.github.io
embedding-similarity,The frontend of shotit, with full documentation.
Organization: shotit
Home Page: https://shotit.github.io/
embedding-similarity,Media broker for serving video preview for shotit
Organization: shotit
Home Page: https://shotit.github.io
embedding-similarity,Provide meta information and utility for shotit, for example, image proxy, cast and poster etc.
Organization: shotit
Home Page: https://shotit.github.io/
embedding-similarity,Sort the search results of Shotit to increase the correctness of Top1 result by using Keras and Faiss.
Organization: shotit
Home Page: https://shotit.github.io/
embedding-similarity,Four core workers of shotit: watcher, hasher, loader and searcher.
Organization: shotit
Home Page: https://shotit.github.io/
embedding-similarity,Vector Embedding Server in under 100 lines of code
Organization: struct-chat
embedding-similarity,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 using a unified data and query model.
Organization: vitrivr
Home Page: https://www.vitrivr.org/vitrivr.html
embedding-similarity,VQLite - Simple and Lightweight Vector Search Engine based on Google ScaNN
Organization: vqlite
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