Best AI tools for< Update Indexing System >

Caibooster is an AI-based Google indexing service that helps users boost their indexing rate and speed in Google search results. It offers different packages for submitting links to Google for indexing, with a high success rate of 60%-80%. The service is safe, professional, and affordable, ensuring that users' data is secured and their links are indexed efficiently. Caibooster continuously updates its indexing system to adapt to Google's changes, making it a reliable solution for anyone struggling with link indexing.

Code Snippets AI is an AI-powered code snippets library for teams. It helps developers master their codebase with contextually-rich AI chats, integrated with a secure code snippets library. Developers can build new features, fix bugs, add comments, and understand their codebase with the help of Code Snippets AI. The tool is trusted by the best development teams and helps developers code smarter than ever. With Code Snippets AI, developers can leverage the power of a codebase aware assistant, helping them write clean, performance optimized code. They can also create documentation, refactor, debug and generate code with full codebase context. This helps developers spend more time creating code and less time debugging errors.

Likely.AI is an AI-powered platform designed for the real estate industry, offering innovative solutions to enhance database management, marketing content creation, and predictive analytics. The platform utilizes advanced AI models to predict likely sellers, update contact information, and trigger automated notifications, ensuring real estate professionals stay ahead of the competition. With features like contact enrichment, predictive modeling, 24/7 contact monitoring, and AI-driven marketing content generation, Likely.AI revolutionizes how real estate businesses operate and engage with their clients. The platform aims to streamline workflows, improve lead generation, and maximize ROI for users in the residential real estate sector.

Let Me Know When is an AI-powered website monitoring tool that offers automated monitoring and competitor analysis. It allows users to track changes on any website, receive price change alerts, monitor competitor websites, detect design changes, and stay updated with content changes. The platform provides insights on SEO performance, product launches, job postings, event tickets, cryptocurrency and stock prices, Google search trends, news updates, customer reviews, and software version tracking. Let Me Know When offers flexible pricing plans and an AI assistant for intelligent insights.

GetBetterPics is an AI-powered photo generator that allows users to create high-quality photos without the need for professional equipment or photography skills. The application uses advanced AI technology to generate realistic and visually appealing photos that can be used for social media, personal albums, or professional headshots. GetBetterPics is designed to be user-friendly and accessible, making it a great option for individuals and businesses looking to enhance their online presence with stunning visuals.

Flavored Resume is an AI-powered resume optimization tool that helps job seekers tailor their resumes to specific job descriptions. It utilizes AI to analyze job descriptions and industry trends, enhancing resumes with targeted keywords and improving resume structure and readability for easy Applicant Tracking System (ATS) parsing. Flavored Resume provides a user-friendly web platform for instant resume edits, making it easy for job seekers to customize their resumes without the need for professional writers.

FPOV is an AI application that helps businesses transform into digital leaders by providing services in leadership, technology operations, people/culture, and artificial intelligence. The application offers workshops, strategies, analysis, support, and advisory services to help organizations succeed in the digital age. FPOV aims to be world-class thought leaders in navigating the constantly changing digital dynamics that impact organizations and people.

SceneryAI is an AI-powered image editing tool that allows users to quickly and easily edit images. With SceneryAI, users can remove unwanted objects, change the background, and adjust the lighting and colors of their images. SceneryAI is also able to generate new images from scratch, making it a powerful tool for creating unique and eye-catching visuals.

Ariglad is an AI-powered Knowledge Base API designed for support teams to enhance their customer service strategies. It automates the creation and updates of knowledge bases by analyzing support tickets, providing insights for data-driven decisions. The tool offers integrations with various platforms like Slack, Microsoft Teams, and HRIS, enabling teams to confidently lead with strategy backed by people analytics.

LEAi is an AI-powered tool designed for training course content authoring. It enables users to quickly create, update, and repurpose training courses by leveraging artificial intelligence to streamline the course creation process. LEAi eliminates manual tasks, provides real-time guidance on course structure and content writing, and ensures optimal learning outcomes by applying best practices in course development. The tool is ideal for companies looking to save time and resources in developing high-quality training content.

Hints is a sales AI assistant that helps sales reps to get more hours in a day while keeping CRM data accurate automatically. It works with Salesforce, Hubspot, and Pipedrive. With Hints, sales reps can log and retrieve CRM data on any device with chat and voice, get guidance on their next steps, and reminders of what's missing. Hints can also help sales reps to create complex CRM updates in seconds, find duplicates, suggest actions, automatically create associations, and look up sales data through chat and voice commands. Hints can assist sales reps in building the perfect sales process for their team and provides fast onboarding for new sales reps.

Whatmore is an AI-powered video commerce platform that helps e-commerce stores create engaging and shoppable videos to increase conversion rates. With Whatmore, you can easily create short videos in seconds, transform product images into videos, and add music and trending effects to your videos. You can also use Whatmore to import videos from Instagram and TikTok, and add shoppable tags to your videos to make them interactive. Whatmore offers a variety of features to help you create and share your videos, including a drag-and-drop video editor, a library of pre-made video templates, and a built-in video player. Whatmore also provides detailed analytics to help you track the performance of your videos and see how they are impacting your sales.

MrRamaAI is an AI tool that provides news, updates, trends, and courses related to Artificial Intelligence in 2024. The platform offers insights into the advancements and predictions in the field of AI, as well as practical tools like LoopCV for job seekers. Users can also find resources for crafting social media posts, music generation, cybersecurity solutions, and more. MrRamaAI aims to empower individuals with knowledge and tools to leverage AI technologies effectively in various domains.

AI Search is a comprehensive AI tools database that helps users discover and explore a wide range of AI tools and applications. With over 13000 AI tools listed and updated daily, AI Search provides a valuable resource for individuals and businesses seeking to leverage AI technologies. The platform allows users to search for AI tools based on specific functions or keywords, making it easy to find the right tool for their needs. AI Search also offers a newsletter service that delivers top updates in AI directly to users' inboxes every weekend.

Attention is an AI-powered platform that transforms call recordings into valuable insights and actions for sales teams. It offers features such as generating follow-up emails, updating Salesforce, alerting stakeholders of churn risk, creating coaching scorecards, and more. The platform helps sales teams analyze calls, identify coaching priorities, onboard new team members quickly, align sales messaging, and automate follow-up emails with AI. Attention aims to revolutionize sales workflows by providing real-time actionable intelligence and enhancing productivity.

Mutable.ai is an AI tool that provides human quality assistance with codebases. It offers features such as creating Wikipedia-style documentation for code, generating wiki articles automatically, and enabling AI chat for extracting answers quickly. The application aims to enhance productivity and satisfaction for software engineers by leveraging AI advancements to revolutionize programming methods. The team behind Mutable.ai includes experts from various prestigious backgrounds, ensuring high-quality service and support.

The website is a platform that requires JavaScript to be enabled in order to run the application. It likely offers interactive features or functionalities that rely on JavaScript for dynamic content and user interaction. The website may provide various services or tools that enhance user experience through dynamic elements and real-time updates.

DepsHub is an AI-powered tool designed to simplify dependency updates for software development teams. It offers features such as noise-free dependency management, cross-repository overview, license compliance, security alerts, and automatic version bumping. The tool saves time by analyzing library changelogs, updating dependencies, and ensuring code security. DepsHub supports various languages and frameworks, integrates with popular tools like Github, Gitlab, Bitbucket, and Jira, and is free for open-source projects.

Yoit is a fashion website that offers a wide range of trendy clothing options inspired by celebrity styles and popular fashion trends. The platform provides users with access to affordable versions of celebrity outfits, top brand collections, and style recommendations. Yoit aims to make fashion easy and accessible for everyone, providing a curated selection of clothing items suitable for various occasions and seasons. Users can stay updated on the latest fashion news, trends, and tips through Yoit's newsletters and weekly updates. The website caters to fashion enthusiasts looking to enhance their wardrobe with stylish and chic clothing choices.

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Vearch is a cloud-native distributed vector database designed for efficient similarity search of embedding vectors in AI applications. It supports hybrid search with vector search and scalar filtering, offers fast vector retrieval from millions of objects in milliseconds, and ensures scalability and reliability through replication and elastic scaling out. Users can deploy Vearch cluster on Kubernetes, add charts from the repository or locally, start with Docker-compose, or compile from source code. The tool includes components like Master for schema management, Router for RESTful API, and PartitionServer for hosting document partitions with raft-based replication. Vearch can be used for building visual search systems for indexing images and offers a Python SDK for easy installation and usage. The tool is suitable for AI developers and researchers looking for efficient vector search capabilities in their applications.

The LLM RAG Workshop repository provides a workshop on using Large Language Models (LLMs) and Retrieval-Augmented Generation (RAG) to generate and understand text in a human-like manner. It includes instructions on setting up the environment, indexing Zoomcamp FAQ documents, creating a Q&A system, and using OpenAI for generation based on retrieved information. The repository focuses on enhancing language model responses with retrieved information from external sources, such as document databases or search engines, to improve factual accuracy and relevance of generated text.

The Next-Generation LLM-based Recommender Systems Survey is a comprehensive overview of the latest advancements in recommender systems leveraging Large Language Models (LLMs). The survey covers various paradigms, approaches, and applications of LLMs in recommendation tasks, including generative and non-generative models, multimodal recommendations, personalized explanations, and industrial deployment. It discusses the comparison with existing surveys, different paradigms, and specific works in the field. The survey also addresses challenges and future directions in the domain of LLM-based recommender systems.

Indexify is an open-source engine for building fast data pipelines for unstructured data (video, audio, images, and documents) using reusable extractors for embedding, transformation, and feature extraction. LLM Applications can query transformed content friendly to LLMs by semantic search and SQL queries. Indexify keeps vector databases and structured databases (PostgreSQL) updated by automatically invoking the pipelines as new data is ingested into the system from external data sources. **Why use Indexify** * Makes Unstructured Data **Queryable** with **SQL** and **Semantic Search** * **Real-Time** Extraction Engine to keep indexes **automatically** updated as new data is ingested. * Create **Extraction Graph** to describe **data transformation** and extraction of **embedding** and **structured extraction**. * **Incremental Extraction** and **Selective Deletion** when content is deleted or updated. * **Extractor SDK** allows adding new extraction capabilities, and many readily available extractors for **PDF**, **Image**, and **Video** indexing and extraction. * Works with **any LLM Framework** including **Langchain**, **DSPy**, etc. * Runs on your laptop during **prototyping** and also scales to **1000s of machines** on the cloud. * Works with many **Blob Stores**, **Vector Stores**, and **Structured Databases** * We have even **Open Sourced Automation** to deploy to Kubernetes in production.

Cognita is an open-source framework to organize your RAG codebase along with a frontend to play around with different RAG customizations. It provides a simple way to organize your codebase so that it becomes easy to test it locally while also being able to deploy it in a production ready environment. The key issues that arise while productionizing RAG system from a Jupyter Notebook are: 1. **Chunking and Embedding Job** : The chunking and embedding code usually needs to be abstracted out and deployed as a job. Sometimes the job will need to run on a schedule or be trigerred via an event to keep the data updated. 2. **Query Service** : The code that generates the answer from the query needs to be wrapped up in a api server like FastAPI and should be deployed as a service. This service should be able to handle multiple queries at the same time and also autoscale with higher traffic. 3. **LLM / Embedding Model Deployment** : Often times, if we are using open-source models, we load the model in the Jupyter notebook. This will need to be hosted as a separate service in production and model will need to be called as an API. 4. **Vector DB deployment** : Most testing happens on vector DBs in memory or on disk. However, in production, the DBs need to be deployed in a more scalable and reliable way. Cognita makes it really easy to customize and experiment everything about a RAG system and still be able to deploy it in a good way. It also ships with a UI that makes it easier to try out different RAG configurations and see the results in real time. You can use it locally or with/without using any Truefoundry components. However, using Truefoundry components makes it easier to test different models and deploy the system in a scalable way. Cognita allows you to host multiple RAG systems using one app. ### Advantages of using Cognita are: 1. A central reusable repository of parsers, loaders, embedders and retrievers. 2. Ability for non-technical users to play with UI - Upload documents and perform QnA using modules built by the development team. 3. Fully API driven - which allows integration with other systems. > If you use Cognita with Truefoundry AI Gateway, you can get logging, metrics and feedback mechanism for your user queries. ### Features: 1. Support for multiple document retrievers that use `Similarity Search`, `Query Decompostion`, `Document Reranking`, etc 2. Support for SOTA OpenSource embeddings and reranking from `mixedbread-ai` 3. Support for using LLMs using `Ollama` 4. Support for incremental indexing that ingests entire documents in batches (reduces compute burden), keeps track of already indexed documents and prevents re-indexing of those docs.

2P-Kt is a Kotlin-based and multi-platform reboot of tuProlog (2P), a multi-paradigm logic programming framework written in Java. It consists of an open ecosystem for Symbolic Artificial Intelligence (AI) with modules supporting logic terms, unification, indexing, resolution of logic queries, probabilistic logic programming, binary decision diagrams, OR-concurrent resolution, DSL for logic programming, parsing modules, serialisation modules, command-line interface, and graphical user interface. The tool is designed to support knowledge representation and automatic reasoning through logic programming in an extensible and flexible way, encouraging extensions towards other symbolic AI systems than Prolog. It is a pure, multi-platform Kotlin project supporting JVM, JS, Android, and Native platforms, with a lightweight library leveraging the Kotlin common library.

The LLMEvaluation repository is a comprehensive compendium of evaluation methods for Large Language Models (LLMs) and LLM-based systems. It aims to assist academics and industry professionals in creating effective evaluation suites tailored to their specific needs by reviewing industry practices for assessing LLMs and their applications. The repository covers a wide range of evaluation techniques, benchmarks, and studies related to LLMs, including areas such as embeddings, question answering, multi-turn dialogues, reasoning, multi-lingual tasks, ethical AI, biases, safe AI, code generation, summarization, software performance, agent LLM architectures, long text generation, graph understanding, and various unclassified tasks. It also includes evaluations for LLM systems in conversational systems, copilots, search and recommendation engines, task utility, and verticals like healthcare, law, science, financial, and others. The repository provides a wealth of resources for evaluating and understanding the capabilities of LLMs in different domains.

Scrape It Now is a versatile tool for scraping websites with features like decoupled architecture, CLI functionality, idempotent operations, and content storage options. The tool includes a scraper component for efficient scraping, ad blocking, link detection, markdown extraction, dynamic content loading, and anonymity features. It also offers an indexer component for creating AI search indexes, chunking content, embedding chunks, and enabling semantic search. The tool supports various configurations for Azure services and local storage, providing flexibility and scalability for web scraping and indexing tasks.

GraphRAG Local with Interactive UI is an adaptation of Microsoft's GraphRAG, tailored to support local models and featuring a comprehensive interactive user interface. It allows users to leverage local models for LLM and embeddings, visualize knowledge graphs in 2D or 3D, manage files, settings, and queries, and explore indexing outputs. The tool aims to be cost-effective by eliminating dependency on costly cloud-based models and offers flexible querying options for global, local, and direct chat queries.

Swirl is an open-source software that allows users to simultaneously search multiple content sources and receive AI-ranked results. It connects to various data sources, including databases, public data services, and enterprise sources, and utilizes AI and LLMs to generate insights and answers based on the user's data. Swirl is easy to use, requiring only the download of a YML file, starting in Docker, and searching with Swirl. Users can add credentials to preloaded SearchProviders to access more sources. Swirl also offers integration with ChatGPT as a configured AI model. It adapts and distributes user queries to anything with a search API, re-ranking the unified results using Large Language Models without extracting or indexing anything. Swirl includes five Google Programmable Search Engines (PSEs) to get users up and running quickly. Key features of Swirl include Microsoft 365 integration, SearchProvider configurations, query adaptation, synchronous or asynchronous search federation, optional subscribe feature, pipelining of Processor stages, results stored in SQLite3 or PostgreSQL, built-in Query Transformation support, matching on word stems and handling of stopwords, duplicate detection, re-ranking of unified results using Cosine Vector Similarity, result mixers, page through all results requested, sample data sets, optional spell correction, optional search/result expiration service, easily extensible Connector and Mixer objects, and a welcoming community for collaboration and support.

Devon is an open-source pair programmer tool designed to facilitate collaborative coding sessions. It provides features such as multi-file editing, codebase exploration, test writing, bug fixing, and architecture exploration. The tool supports Anthropic, OpenAI, and Groq APIs, with plans to add more models in the future. Devon is community-driven, with ongoing development goals including multi-model support, plugin system for tool builders, self-hostable Electron app, and setting SOTA on SWE-bench Lite. Users can contribute to the project by developing core functionality, conducting research on agent performance, providing feedback, and testing the tool.

The 'awesome-ai4db-paper' repository is a curated paper list focusing on AI for database (AI4DB) theory, frameworks, resources, and tools for data engineers. It includes a collection of research papers related to learning-based query optimization, training data set preparation, cardinality estimation, query-driven approaches, data-driven techniques, hybrid methods, pretraining models, plan hints, cost models, SQL embedding, join order optimization, query rewriting, end-to-end systems, text-to-SQL conversion, traditional database technologies, storage solutions, learning-based index design, and a learning-based configuration advisor. The repository aims to provide a comprehensive resource for individuals interested in AI applications in the field of database management.

Nucleoid is a declarative (logic) runtime environment that manages both data and logic under the same runtime. It uses a declarative programming paradigm, which allows developers to focus on the business logic of the application, while the runtime manages the technical details. This allows for faster development and reduces the amount of code that needs to be written. Additionally, the sharding feature can help to distribute the load across multiple instances, which can further improve the performance of the system.

Databend is an open-source cloud data warehouse built in Rust, offering fast query execution and data ingestion for complex analysis of large datasets. It integrates with major cloud platforms, provides high performance with AI-powered analytics, supports multiple data formats, ensures data integrity with ACID transactions, offers flexible indexing options, and features community-driven development. Users can try Databend through a serverless cloud or Docker installation, and perform tasks such as data import/export, querying semi-structured data, managing users/databases/tables, and utilizing AI functions.

A massive list including a huge amount of products and services that are completely free! ⭐ Star on GitHub • 🤝 Contribute # Table of Contents * APIs, Data & ML * Artificial Intelligence * BaaS * Code Editors * Code Generation * DNS * Databases * Design & UI * Domains * Email * Font * For Students * Forms * Linux Distributions * Messaging & Streaming * PaaS * Payments & Billing * SSL

Jarvis is an AI note-taking assistant for Joplin, powered by online and offline LLMs (such as OpenAI's ChatGPT or GPT-4, Hugging Face, Google PaLM, Universal Sentence Encoder). You can chat with it (including prompt templates), use your personal notes as additional context in the chat, automatically annotate notes, perform semantic search, or compile an automatic review of the scientific literature.

Vespa is an open-source search and AI engine that provides a unified platform for building and deploying search and AI applications. Vespa sample applications showcase various use cases and features of Vespa, including basic search, recommendation, semantic search, image search, text ranking, e-commerce search, question answering, search-as-you-type, and ML inference serving.

This repository serves as a practical guide for Medical Large Language Models (Medical LLMs) and provides resources, surveys, and tools for building, fine-tuning, and utilizing LLMs in the medical domain. It covers a wide range of topics including pre-training, fine-tuning, downstream biomedical tasks, clinical applications, challenges, future directions, and more. The repository aims to provide insights into the opportunities and challenges of LLMs in medicine and serve as a practical resource for constructing effective medical LLMs.

Draft effective and clean standup updates for Slack.

Provides latest AI news and global events updates.

Turn animated characters into real people with this prompt. It is an original and entertaining way to enjoy art and animation.

Daily Update China Important News ; And 2021~2023 China News( power by chinabriefing.co )

NEW BIG UPDATE! Now covers lore in video games, movies, shows, history, and more!

Your specialized news update assistant

Turns any software update info into structured changelogs in imperative tense.

Helpful and persistent: I continuously update persistent state to capture a concise but complete specification of the entire conversation.

Export comparison data from GSC to get a scatter plot of keyword rankings before and after an update.

Multilingual financial expert for PDF bank statement analysis ->> Latest Update: Mar 12th, 2024

Global Conflict Analyst that will provide a 'wartime update' on the worst global conflict atm.

Expert in Quebec income tax returns, providing precise, professional advice. (2022 documents will update when 2023 documents are available)

I create Medium posts tailored to your brand and audience. Provide the following: [BRAND CONTEXT], [AUDIENCE CONTEXT], [POST TOPIC] | UPDATE #1 - Added SEO optimization

Your expert assistant for Google Calendar and gmail tasks, integrated with Zapier (works with free plan). Supports: list, add, update events to calendar, send gmail. You will be prompted to configure zapier actions when set up initially. Conversation data is not used for openai training.

Discover the perfect GPTs tailored just for you from an astounding selection of 89527 models! Dive in and enjoy the magic! The GPT repository will update continuously!

Expert Homebrew DND tool for crafting detailed monsters, items, spells, races, classes with rich lore, stats, and habitats. V0.9: The Description Update - Added reactions, equipment and more to monster creation as well as more detail.

Découvrez si votre site a été impacté par une mise à jour de GG et laquelle

Helping you with the tedious taks of updating protocols

I find the latest versions of any software or package for you. Just type in the name of the software, package, plugin or anything with a version number.

将Vue2的JavaScript代码升级为Vue3版本Composition API的TypeScript代码，同时升级Vuex、i18n、ElementUI等组件。