Privacy-respecting metasearch engine
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Updated
Sep 7, 2023 - Python
Privacy-respecting metasearch engine
Easy-to-use and powerful LLM and SLM library with awesome model zoo.
💡 All-in-one open-source AI framework for semantic search, LLM orchestration and language model workflows
A self-hosted, ad-free, privacy-respecting metasearch engine
A free & open modern, fast email client with user-friendly encryption and privacy features
Developer-friendly, embedded retrieval engine for multimodal AI. Search More; Manage Less.
Search plugins for the search feature
Unified embedding generation and search engine. Also available on cloud - cloud.marqo.ai
Local Deep Research achieves ~95% on SimpleQA benchmark (tested with GPT-4.1-mini) and includes benchmark tools to test on your own setup. Searches 10+ sources - arXiv, PubMed, GitHub, web, and your private documents.
AI Search & RAG Without Moving Your Data. Get instant answers from your company's knowledge across 100+ apps while keeping data secure. Deploy in minutes, not months.
🧠 AI-powered enterprise search engine 🔎
Awesome Deep Learning papers for industrial Search, Recommendation and Advertisement. They focus on Embedding, Matching, Ranking (CTR/CVR prediction), Post Ranking, Large Model (Generative Recommendation, LLM), Transfer learning, Reinforcement Learning and so on.
An SEO tool that analyzes the structure of a site, crawls the site, count words in the body of the site and warns of any technical SEO issues.
GNES is Generic Neural Elastic Search, a cloud-native semantic search system based on deep neural network.
MLNLP社区用来更好进行论文搜索的工具。Fully-automated scripts for collecting AI-related papers
Maryam: Open-source Intelligence(OSINT) Framework
A Domain Name & Email Address Collection Tool
Word2vec 千人千面 个性化搜索 + Scrapy2.3.0(爬取数据) + ElasticSearch7.9.1(存储数据并提供对外Restful API) + Django3.1.1 搜索
Elasticsearch with BERT for advanced document search.
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