# Semantic Search

Memvid is a revolutionary AI memory management solution that encodes text data into videos to enable fast semantic search across millions of text blocks. It is more efficient than traditional vector databases, with smaller storage requirements and the ability to quickly access information without a database. The product is free and positioned to enhance the efficiency of knowledge management and information retrieval.

SkyPilot RAG is a retrieval-augmented generation system that combines vector search and large language models. It provides legal professionals with efficient information retrieval and analysis tools through semantic search and intelligent question answering. Built on SkyPilot, the system manages infrastructure and efficiently utilizes computing resources, supporting deployment on any cloud environment or Kubernetes. Its main advantages include high accuracy, context awareness, and traceability, significantly improving the efficiency and reliability of legal document processing.

Graphiti is a technology model focused on building dynamic temporal knowledge graphs, designed to handle constantly changing information and the evolution of complex relationships. By combining semantic search and graph algorithms, it supports extracting knowledge from unstructured text and structured JSON data and can perform point-in-time queries. Graphiti is the core technology of the Zep memory layer, supporting long-term memory and state-based reasoning. It is suitable for application scenarios requiring dynamic data processing and complex task automation, such as sales, customer service, healthcare, finance, and more.

Librarian is a browser extension powered by lightweight Retrieval-Augmented Generation (RAG) and AI technologies. It enables users to manage and query their personal knowledge bases, swiftly retrieving the most relevant information through semantic search and keyword analysis. Key benefits include hassle-free setup, robust data security, and support for offline use. It's ideal for users who need to efficiently manage and query extensive documents, benefiting students, researchers, and professionals alike. Currently offered free of charge, Librarian aims to empower users to better organize and analyze knowledge.

voyage-multimodal-3, launched by Voyage AI, is a multimodal embedding model that vectorizes text and images (including screenshots of PDFs, slides, and tables) while capturing key visual features. This advancement significantly enhances document retrieval accuracy for rich visual and textual information within knowledge bases, making it important for RAG and semantic search applications. On multimodal retrieval tasks, voyage-multimodal-3 achieves an average improvement of 19.63% in retrieval accuracy compared to other models.

Alex Sidebar is a smart sidebar plugin designed for Xcode that enhances developers' programming efficiency through various features. According to product background information, Alex Sidebar is supported by Combinator and is available for free to users during its Beta phase. It aids developers in writing code more quickly and intelligently through features like semantic search, code generation, and automatic error fixing.

kelindar/search is a Go language library that provides functionality for embedded vector search and semantic embeddings, built on llama.cpp. This library is particularly suitable for small to medium-sized projects that require powerful semantic search capabilities while maintaining a simple and efficient implementation. It supports GGUF BERT models, allowing users to leverage advanced embedding techniques without delving into the complexities of traditional search systems. The library also offers GPU acceleration for fast computations on supported hardware. If your dataset contains fewer than 100,000 entries, this library can be easily integrated into your Go application to implement semantic search features.

Marqo is a platform focused on training and deploying embedded models, offering an end-to-end solution from model training to inference and storage. It supports over 150 embedded models and enables rapid prototyping, accelerated iteration, and seamless deployment. The platform accommodates multimodal models, such as CLIP, which can extract semantic information from images and other data types, facilitating seamless text and image searches, and even combining them into a unified vector. Marqo also supports search in over 100 languages with cutting-edge multilingual models, automatically scaling to new regions without manual language configuration. Additionally, Marqo's scalability allows users to run Docker images on laptops and expand to dozens of GPU inference nodes in the cloud, providing low-latency search services.

RAG_Techniques is a collection focused on Retrieval-Augmented Generation (RAG) systems, aimed at enhancing the accuracy, efficiency, and contextual richness of these systems. It serves as a cutting-edge technology hub that drives the development and innovation of RAG technology through community contributions and a collaborative environment.

Wikipedia Semantic Search is an experimental project showcasing the scalability of Upstash Vector when handling large datasets. The project vectorized 23 million Wikipedia articles in 11 languages and stored 14.4 million vectors in a single Upstash Vector index. This enables users to explore Wikipedia's content through semantic search rather than traditional keyword searches.

AskAITools is a state-of-the-art search engine project designed specifically for the AI product domain. It is set to revolutionize the way users discover AI products by providing the most accurate, comprehensive, quick, and intelligent search experience. The project includes a commercial version and a community version, with the community version offering basic frontend interfaces and search functionalities, and the code is completely open source. AskAITools employs a hybrid search engine architecture, combining keyword search and semantic search capabilities. Through statistical data analysis and weighted fusion technology, it achieves a balanced mix of relevance and popularity.

Reor is an AI-driven desktop note-taking application that enhances personal knowledge management through features such as automatic linking of relevant notes, answering questions on notes, semantic search, and creating AI flashcards. All data is stored locally, and it supports a Markdown editor similar to Obsidian. The core assumption of the Reor project is that AI models for thinking tools should run locally by default. It leverages technologies like Ollama, Transformers.js, and LanceDB to enable the operation of large language models (LLM) and embedded models locally. It also supports connections to OpenAI or compatible APIs, such as Oobabooga.

Melior AI's contract intelligence platform automatically categorizes, reviews, and finds answers within legal documents, enabling you to make better business decisions and streamline workflows.

Mitu AI Search is a new generation smart search engine based on large models. It understands user intentions and provides ad-free, high-quality search results, allowing users to quickly access the information they need. Mitu AI Search boasts strong semantic understanding, supports multi-turn conversational search, and features voice input capabilities, significantly enhancing search efficiency.

PalyPDF is a PDF management tool that offers functions like organization, searching, chat, and summarization. You can directly converse with PDFs, merge knowledge from multiple documents, quickly generate summaries, fuse the knowledge of multiple documents into one conversation, recognize text and images within documents for advanced semantic search, and categorize and manage PDFs in neat folders. PalyPDF supports multiple languages and offers flexible subscription plans for users to choose from.

RealEngineersAI is an innovative engineer recruitment platform that differs from traditional job sites by focusing on detailed project profiles instead of resumes. It leverages artificial intelligence to match skills and experience with job requirements. Users can upload their projects, generating concise summaries and detailed skill lists with AI assistance, enabling engineers to showcase their abilities more effectively. Employers can upload job descriptions and utilize semantic search and AI chatbots to quickly filter candidates.

Vellum is a development platform for building LLM applications. It provides tools such as rapid engineering, semantic search, version control, testing, and monitoring, and is compatible with all major LLM providers. Vellum can help you bring LLM functionality to production environments, supporting the rapid development and deployment of LLM models while providing quality testing and performance monitoring features. For pricing and positioning, please refer to the official website.

Metal is an enterprise-grade AI retrieval platform that offers functionalities such as semantic search, chatbots, log recording, and observation. It also supports file uploads and embedding generation, along with enterprise-grade security and support. Metal is widely applicable in enterprise AI application development and data analysis.

Simple Search is an AI-powered interactive search engine that understands user intent to provide personalized search results and recommendations. Simple Search enables conversational search, while its powerful semantic understanding capabilities accurately capture user needs, significantly improving search efficiency.

Haystack is an end-to-end Natural Language Processing framework that empowers you to build applications driven by LLMs, Transformer models, and vector search. Whether you aim to perform question answering, answer generation, semantic document search, or construct tools capable of complex decision-making and query resolution, Haystack's cutting-edge NLP models enable you to build end-to-end NLP applications tailored to your use cases.

Frase is a content optimization tool that uses artificial intelligence to provide intelligent SEO optimization suggestions. It can help users analyze their website content and offer advice on keyword optimization to improve their website's ranking in search engines. Frase also offers semantic search functionality, which helps users find questions related to their website, providing inspiration and guidance for creating content. Frase can also analyze competitor websites and provide comparative and improvement suggestions. The product offers flexible pricing and different package options to meet user needs.