AI search engine

VARAG is a system that supports multiple retrieval technologies, optimized for different use cases of text, image and multi-modal document retrieval. It simplifies the traditional retrieval process by embedding document pages as images and uses advanced visual language models for encoding, improving retrieval accuracy and efficiency. The main advantage of VARAG is its ability to handle complex visual and textual content, providing powerful support for document retrieval.

This is a project built with Next.js that leverages Upstash Vector to provide Wikipedia’s semantic search capabilities. The project achieves efficient search and retrieval of Wikipedia content by optimizing and loading the customized Google font Inter.

MiniPerplx is a minimalist search engine based on AI, designed to help users quickly find the information they need on the Internet. It uses APIs from AI service providers such as OpenAI, Anthropic and Tavily. By integrating these technologies, MiniPerplx is able to provide fast and accurate search results. The product is developed using technology stacks such as TypeScript, CSS and JavaScript, and follows the MIT license.

OpenPerPlex is an open source AI search engine that leverages cutting-edge technology to provide web search capabilities. It combines technologies such as semantic chunking, result rearrangement, Google search integration, and Groq as an inference engine, supporting the Llama 3 70B model to improve search accuracy and efficiency.

AskAITools is a cutting-edge search engine project tailored for the field of AI products, aiming to revolutionize the way users discover AI products by providing the most accurate, comprehensive, fast and intelligent search experience. The project includes a commercial version and a community version. The community version provides a basic front-end interface and search functions, and the code is completely open source. AskAITools adopts a hybrid search engine architecture that combines keyword search and semantic search capabilities, and achieves a balance of relevance and popularity through statistical data and weighted fusion technology.

Korvus is a search SDK built on Postgres that unifies the entire RAG (Retrieval Augmentation Generation) process into a single database query. It provides high-performance, customizable search capabilities while minimizing infrastructure considerations. Korvus utilizes PostgresML's pgml extension and pgvector extension to compress the RAG process inside Postgres. It supports multi-language SDKs, including Python, JavaScript, Rust and C, allowing developers to seamlessly integrate into existing technology stacks.

RAG Search API is an intelligent search API developed by thinkany.ai. It uses RAG (Retrieval-Augmented Generation) technology and combines the characteristics of retrieval and generation to provide users with efficient and accurate information retrieval services. The API supports custom configuration, including the number of searches, whether to reorder, filter, etc., and can meet the needs of different users.

Verba is an open source application designed to provide an end-to-end, smooth and user-friendly Retrieval Augmentation Generation (RAG) interface. It combines state-of-the-art RAG technology with Weaviate's context-aware database, which can be deployed on-premises or via the cloud, making it easy to explore data sets and extract insights.

RAG-Retrieval is a full-link RAG retrieval fine-tuning and inference framework that supports inference of multiple RAG Reranker models, including vector models, late interactive models, and interactive models. It provides a lightweight Python library that enables users to call different RAG sorting models in a unified manner, simplifying the use and deployment of sorting models.

AI Code Finder is a free browser plug-in that can quickly find the code implementation of any AI research paper. It can automatically find code links related to papers on Google, ArXiv, academic search engines, forums and other websites, and provides a CODE button for users to click to jump to the open source code implementation. Users can also create alerts to get the latest code implementations, authors' latest work, and latest developments. This plugin is for engineers, researchers, developers, and technology leaders working in areas such as artificial intelligence, data science, computer vision, speech recognition, deep learning, and large language models.

WebLlama is an agent built on Meta Llama 3 and fine-tuned specifically for web navigation and conversation. It is designed to build effective human-centered agents that help users navigate the web, not replace them. The model outperforms GPT-4V (zero-sample) by 18% on the WebLINX benchmark, demonstrating its superior performance in web page navigation tasks.

DarkGPT is an open source OSINT (Open Source Intelligence) assistant based on GPT-4-200K, designed to help users perform queries on leaked databases. It provides an artificial intelligence assistant that can function within the traditional OSINT process.

nasa-smd-ibm-st is a sentence conversion model based on Bi-encoder, which is fine-tuned and trained by the nasa-smd-ibm-v0.1 encoder model. It was trained using 271 million training samples as well as 2.6 million domain-specific samples from NASA Science Mission Direction (SMD) documents. This model is designed to enhance natural language technologies, such as information retrieval and intelligent search, to be applied to natural language processing tasks in SMD. This model can be widely used in NASA SMD-related scientific use cases such as information retrieval and sentence similarity search.

AI Code Finder for Papers - CatalyzeX is a free browser plug-in that can directly find code implementations of AI and other research papers on Google search, ArXiv, Scholar, PubMed, IEEE and other search engines, forums and academic websites. Users can quickly jump to relevant open source implementations and explore them by clicking the "CODE" button. This plugin is powered by CatalyzeX.com.

Devv Search is a new generation AI search engine for programmers that can help developers quickly and accurately find the code snippets and solutions they need. Through powerful artificial intelligence technology, Devv Search can understand developers' search intentions, provide accurate search results, and greatly improve development efficiency. Pricing is flexible and diverse, suitable for individual developers and enterprise users.

TechBot is an innovative Chrome extension that improves your interaction experience across multiple technical documents by using advanced artificial intelligence-based natural language processing technology. This plugin provides smart search functionality for Angular, React, Kubernetes, NextJS and NestJS official documentation. With TechBot, you can ask questions in plain English and get detailed and accurate answers from official documentation. It handles questions intelligently and provides precise answers, saving you a lot of time and energy. TechBot offers a variety of features, including: 1. How to set up server-side rendering for non-destructive rendering in Angular? 2. What are the benefits of using signals to improve responsiveness in React? 3. How can developer tools be improved by leveraging Vite in NextJS? 4. Can you provide an example of implementing a functional route guard in NestJS? 5. What are the major improvements and new features in the latest Kubernetes update? TechBot is your comprehensive guide to navigating complex technical documentation. Through its user-friendly interface and advanced features, TechBot helps you focus on what matters most - building great applications using the technology of your choice. Try TechBot today and redefine how you access and understand the documents you need!