Best AI tools for< Optimize Search Queries >

Typeahead AI is an advanced artificial intelligence tool designed to enhance search functionality on websites and applications. It utilizes machine learning algorithms to predict and suggest search queries in real-time, providing users with instant and accurate results. By analyzing user behavior and search patterns, Typeahead AI continuously improves its suggestions, leading to a more personalized and efficient search experience. With its intuitive interface and seamless integration capabilities, Typeahead AI is a valuable asset for businesses looking to optimize their search functionality and improve user engagement.

Algolia is an AI search tool that provides users with the results they need to see, category and collection pages built by AI, recommendations throughout the user journey, data-enhanced customer experiences through the Merchandising Studio, and insights in one dashboard with Analytics. It offers pre-built UI components for custom journeys and integrates with platforms like Adobe Commerce, BigCommerce, Commercetools, Salesforce CC, and Shopify. Algolia is trusted by various industries such as retail, e-commerce, B2B e-commerce, marketplaces, and media. It is known for its ease of use, speed, scalability, and ability to handle a high volume of queries.

Frase is an AI-powered SEO content optimization tool that empowers content creators to efficiently research, write, and optimize SEO-optimized articles. It offers features like AI-generated content briefs, SERP research analysis, outline builder, AI writer, topic model assessment, and collaboration tools. Frase streamlines the content creation process, helping users create high-quality content that ranks well on search engines.

AWS Docs GPT is an AI-powered search and chat tool designed specifically for AWS Documentation. It utilizes advanced AI technology to provide users with an efficient and accurate way to search for information within the AWS documentation. The tool offers a seamless experience by enabling users to interact with a chatbot that understands natural language queries and provides relevant responses in real-time. With AWS Docs GPT, users can save time and effort in navigating through the vast amount of documentation available on AWS, ultimately enhancing their overall productivity and efficiency.

Manifest AI is a GPT-powered AI shopping assistant designed for Shopify stores. It enhances customer experiences by providing AI-driven search, nudges, support, and quizzes for a smoother shopping journey. The application integrates with eCommerce tech stack, generates tickets on helpdesk, and offers personalized shopping experiences. Manifest AI aims to redefine ecommerce by simplifying every step of shopping with AI technology, offering intelligent and personalized shopping experiences to customers worldwide.

Felo Search is a free AI search engine developed by Sparticle Inc. It utilizes artificial intelligence technology to provide users with accurate and relevant search results. The platform is designed to enhance the search experience by understanding user queries and delivering personalized results. Felo Search aims to revolutionize the way people search for information online by leveraging AI algorithms to improve search efficiency and effectiveness.

SiftHub is an AI-powered sales assistant platform designed to help businesses win deals faster by providing perfectly crafted AI responses, enterprise search capabilities, personalization features, modern collaboration tools, and project management solutions. It offers a smart repository with AI-powered Q&A, out-of-the-box integrations, analytics, and enterprise-grade security. SiftHub optimizes sales processes, maximizes revenue, boosts proposal output, and enhances information security for businesses. The platform enables users to revolutionize RFP processes, respond faster to queries, and free up time for critical tasks.

Trieve is an AI-first infrastructure API that offers a comprehensive solution for search, recommendations, and RAG (retrieval-augmented generation). It combines advanced language models with tools for fine-tuning ranking and relevance, providing users with an all-in-one platform for enhancing search experiences across various categories. Trieve supports semantic vector search, full-text search using BM25 & SPLADE models, and hybrid search capabilities. The platform also enables users to tune and boost search results, manage ingestion and analytics effortlessly, and build unfair competitive advantages through search, discovery, and RAG experiences.

Pulse is a world-class expert support tool for BigData stacks, specifically focusing on ensuring the stability and performance of Elasticsearch and OpenSearch clusters. It offers early issue detection, AI-generated insights, and expert support to optimize performance, reduce costs, and align with user needs. Pulse leverages AI for issue detection and root-cause analysis, complemented by real human expertise, making it a strategic ally in search cluster management.

Zevi is an AI-powered site search and discovery platform designed for D2C commerce. It offers a chat assistant and neural search capabilities to enhance the shopping experience for users. The platform helps businesses improve engagement and sales by guiding prospects from discovery to conversions with intent-focused search and chat solutions. Zevi is available for enterprises and Shopify users, providing seamless product discovery and personalized shopping assistance.

Local Falcon is a versatile AI analysis tool for local rank tracking, offering a bird's-eye view of local search rankings and providing unique AI analysis and recommendations. It simplifies local SEO, making it easy for businesses to climb the ranks in search engine results. With features like Falcon AI and Falcon Assist, it helps businesses improve local visibility and track competitors.

Vectorize is a fast, accurate, and production-ready AI tool that helps users turn unstructured data into optimized vector search indexes. It leverages Large Language Models (LLMs) to create copilots and enhance customer experiences by extracting natural language from various sources. With built-in support for top AI platforms and a variety of embedding models and chunking strategies, Vectorize enables users to deploy real-time vector pipelines for accurate search results. The tool also offers out-of-the-box connectors to popular knowledge repositories and collaboration platforms, making it easy to transform knowledge into AI-generated content.

Mixpeek is a flexible search infrastructure designed to simplify multimodal search across various media types. It allows users to search using natural language, images, or video clips, providing insights and recommendations with just one line of code. The platform offers features like semantic search, visual query, hybrid search, fine-tuning & reranking, custom entities, performance analytics, and advanced aggregations. Mixpeek is suitable for a wide range of vision use cases, from basic image search to complex video understanding systems, without the need for reengineering. It addresses common challenges like tedious annotations, limited transcriptions, and basic object detection, offering integrations with various databases, cloud apps, content systems, and more.

Bloomreach is an AI-powered ecommerce personalization platform that integrates real-time customer and product data to enable personalized marketing, product discovery, content, and conversational shopping. It offers solutions for marketers, merchandisers, and data-driven executives, helping businesses optimize performance, increase profitability, and enhance customer experiences.

NoGood™ is a growth marketing agency based in NY, SF, and LA, offering a wide range of services including social ads, paid search, performance branding, SEO, content marketing, marketing analytics, and more. They have a team of experts who use multidisciplinary performance, content, and creative expertise along with robust proprietary analytics and AI tech to tackle growth challenges. NoGood focuses on industries such as SaaS, healthcare, fintech, B2B, and consumer, helping clients achieve significant revenue growth through tailored strategies and data-driven approaches.

Plato is an AI-powered platform that provides data intelligence for the digital world. It offers an immersive user experience through a proprietary hashtagging algorithm optimized for search. With over 5 million users since its beta launch in April 2020, Plato organizes public and private data sources to deliver authentic and valuable insights. The platform connects users to sector-specific applications, offering real-time data intelligence in a secure environment. Plato's vertical search and AI capabilities streamline data curation and provide contextual relevancy for users across various industries.

Toloka AI is a data labeling platform that empowers AI development by combining human insight with machine learning models. It offers adaptive AutoML, human-in-the-loop workflows, large language models, and automated data labeling. The platform supports various AI solutions with human input, such as e-commerce services, content moderation, computer vision, and NLP. Toloka AI aims to accelerate machine learning processes by providing high-quality human-labeled data and leveraging the power of the crowd.

Cohere is the leading AI platform for enterprise, offering products optimized for generative AI, search and discovery, and advanced retrieval. Their models are designed to enhance the global workforce, enabling businesses to thrive in the AI era. Cohere provides Command R+, Cohere Command, Cohere Embed, and Cohere Rerank for building efficient AI-powered applications. The platform also offers deployment options for enterprise-grade AI on any cloud or on-premises, along with developer resources like Playground, LLM University, and Developer Docs.

The Biotech Newswire is a specialized PR distribution service for the life science and biotech industry. With over 20 years of experience, it offers unparalleled media coverage and engagement through meaningful post-release reports. Founded by Dr. Sabine Duntze, a PR expert with a strong life science background, the service enhances press releases for AI-based searches using MeSH terms and ChatGPT. It provides cost-effective and service-oriented solutions with fast email response times, proofreading, and consulting.

SpyFu is an AI-driven competitor keyword research tool for Google Ads PPC and SEO. It offers a comprehensive suite of features including SEO marketing suite, PPC analyzer, historic data analysis, competitive intelligence, backlink outreach, and custom reporting. SpyFu leverages AI technology to identify gaps in existing SEO content and generate high-ranking content to optimize search engine performance. Trusted by renowned brands, SpyFu provides valuable insights into competitors' strategies, keywords, ads, backlinks, and market positioning. With unlimited keyword and domain projects, SpyFu empowers users to stay ahead of the competition and dominate their niche.

The RAG Experiment Accelerator is a versatile tool that helps you conduct experiments and evaluations using Azure AI Search and RAG pattern. It offers a rich set of features, including experiment setup, integration with Azure AI Search, Azure Machine Learning, MLFlow, and Azure OpenAI, multiple document chunking strategies, query generation, multiple search types, sub-querying, re-ranking, metrics and evaluation, report generation, and multi-lingual support. The tool is designed to make it easier and faster to run experiments and evaluations of search queries and quality of response from OpenAI, and is useful for researchers, data scientists, and developers who want to test the performance of different search and OpenAI related hyperparameters, compare the effectiveness of various search strategies, fine-tune and optimize parameters, find the best combination of hyperparameters, and generate detailed reports and visualizations from experiment results.

FastWiki is an enterprise-level artificial intelligence customer service management system. It is a high-performance knowledge base system designed for large-scale information retrieval and intelligent search. Leveraging Microsoft's Semantic Kernel for deep learning and natural language processing, combined with .NET 8 and React framework, it provides an efficient, user-friendly, and scalable intelligent vector search platform. The system aims to offer an intelligent search solution that can understand and process complex queries, assisting users in quickly and accurately obtaining the needed information.

FlashRank is an ultra-lite and super-fast Python library designed to add re-ranking capabilities to existing search and retrieval pipelines. It is based on state-of-the-art Language Models (LLMs) and cross-encoders, offering support for pairwise/pointwise rerankers and listwise LLM-based rerankers. The library boasts the tiniest reranking model in the world (~4MB) and runs on CPU without the need for Torch or Transformers. FlashRank is cost-conscious, with a focus on low cost per invocation and smaller package size for efficient serverless deployments. It supports various models like ms-marco-TinyBERT, ms-marco-MiniLM, rank-T5-flan, ms-marco-MultiBERT, and more, with plans for future model additions. The tool is ideal for enhancing search precision and speed in scenarios where lightweight models with competitive performance are preferred.

WordLift is a plugin that helps online content creators organize posts and pages by adding facts, links, and media to build beautifully structured websites for both humans and search engines. It allows users to create, own, and publish their own knowledge graph, and publishes content as Linked Open Data following Tim Berners-Lee's Linked Data Principles. The plugin supports writers by providing trustworthy and contextual facts, enriching content with images, links, and interactive visualizations, keeping readers engaged with relevant content recommendations, and producing content compatible with schema.org markup for better indexing and display on search engines. It also offers features like creating a personal Wikipedia, publishing metadata to share and distribute content, and supporting content tagging for better SEO.

JamAI Base is an open-source platform integrating SQLite and LanceDB databases with managed memory and RAG capabilities. It offers built-in LLM, vector embeddings, and reranker orchestration accessible through a spreadsheet-like UI and REST API. Users can transform static tables into dynamic entities, facilitate real-time interactions, manage structured data, and simplify chatbot development. The tool focuses on ease of use, scalability, flexibility, declarative paradigm, and innovative RAG techniques, making complex data operations accessible to users with varying technical expertise.

The RAG ChatBot project combines Lama.cpp, Chroma, and Streamlit to build a Conversation-aware Chatbot and a Retrieval-augmented generation (RAG) ChatBot. The RAG Chatbot works by taking a collection of Markdown files as input and provides answers based on the context provided by those files. It utilizes a Memory Builder component to load Markdown pages, divide them into sections, calculate embeddings, and save them in an embedding database. The chatbot retrieves relevant sections from the database, rewrites questions for optimal retrieval, and generates answers using a local language model. It also remembers previous interactions for more accurate responses. Various strategies are implemented to deal with context overflows, including creating and refining context, hierarchical summarization, and async hierarchical summarization.

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.

The Generative AI Use Cases Repository showcases a wide range of applications in generative AI, including Retrieval-Augmented Generation (RAG), AI Agents, and industry-specific use cases. It provides practical notebooks and guidance on utilizing frameworks such as LlamaIndex and LangChain, and demonstrates how to integrate models from leading AI research companies like Anthropic and OpenAI.

Laravel Slower is a powerful package designed for Laravel developers to optimize the performance of their applications by identifying slow database queries and providing AI-driven suggestions for optimal indexing strategies and performance improvements. It offers actionable insights for debugging and monitoring database interactions, enhancing efficiency and scalability.

Cosdata is a cutting-edge AI data platform designed to power the next generation search pipelines. It features immutability, version control, and excels in semantic search, structured knowledge graphs, hybrid search capabilities, real-time search at scale, and ML pipeline integration. The platform is customizable, scalable, efficient, enterprise-grade, easy to use, and can manage multi-modal data. It offers high performance, indexing, low latency, and high requests per second. Cosdata is designed to meet the demands of modern search applications, empowering businesses to harness the full potential of their data.

DB-GPT is a personal database administrator that can solve database problems by reading documents, using various tools, and writing analysis reports. It is currently undergoing an upgrade. **Features:** * **Online Demo:** * Import documents into the knowledge base * Utilize the knowledge base for well-founded Q&A and diagnosis analysis of abnormal alarms * Send feedbacks to refine the intermediate diagnosis results * Edit the diagnosis result * Browse all historical diagnosis results, used metrics, and detailed diagnosis processes * **Language Support:** * English (default) * Chinese (add "language: zh" in config.yaml) * **New Frontend:** * Knowledgebase + Chat Q&A + Diagnosis + Report Replay * **Extreme Speed Version for localized llms:** * 4-bit quantized LLM (reducing inference time by 1/3) * vllm for fast inference (qwen) * Tiny LLM * **Multi-path extraction of document knowledge:** * Vector database (ChromaDB) * RESTful Search Engine (Elasticsearch) * **Expert prompt generation using document knowledge** * **Upgrade the LLM-based diagnosis mechanism:** * Task Dispatching -> Concurrent Diagnosis -> Cross Review -> Report Generation * Synchronous Concurrency Mechanism during LLM inference * **Support monitoring and optimization tools in multiple levels:** * Monitoring metrics (Prometheus) * Flame graph in code level * Diagnosis knowledge retrieval (dbmind) * Logical query transformations (Calcite) * Index optimization algorithms (for PostgreSQL) * Physical operator hints (for PostgreSQL) * Backup and Point-in-time Recovery (Pigsty) * **Continuously updated papers and experimental reports** This project is constantly evolving with new features. Don't forget to star ⭐ and watch 👀 to stay up to date.

Codefuse-ModelCache is a semantic cache for large language models (LLMs) that aims to optimize services by introducing a caching mechanism. It helps reduce the cost of inference deployment, improve model performance and efficiency, and provide scalable services for large models. The project caches pre-generated model results to reduce response time for similar requests and enhance user experience. It integrates various embedding frameworks and local storage options, offering functionalities like cache-writing, cache-querying, and cache-clearing through RESTful API. The tool supports multi-tenancy, system commands, and multi-turn dialogue, with features for data isolation, database management, and model loading schemes. Future developments include data isolation based on hyperparameters, enhanced system prompt partitioning storage, and more versatile embedding models and similarity evaluation algorithms.

Codefuse-ModelCache is a semantic cache for large language models (LLMs) that aims to optimize services by introducing a caching mechanism. It helps reduce the cost of inference deployment, improve model performance and efficiency, and provide scalable services for large models. The project facilitates sharing and exchanging technologies related to large model semantic cache through open-source collaboration.

RAG Me Up is a generic framework that enables users to perform Retrieve, Answer, Generate (RAG) on their own dataset easily. It consists of a small server and UIs for communication. The tool can run on CPU but is optimized for GPUs with at least 16GB of vRAM. Users can combine RAG with fine-tuning using the LLaMa2Lang repository. The tool provides a configurable RAG pipeline without the need for coding, utilizing indexing and inference steps to accurately answer user queries.

LLMInterviewQuestions is a repository containing over 100+ interview questions for Large Language Models (LLM) used by top companies like Google, NVIDIA, Meta, Microsoft, and Fortune 500 companies. The questions cover various topics related to LLMs, including prompt engineering, retrieval augmented generation, chunking, embedding models, internal working of vector databases, advanced search algorithms, language models internal working, supervised fine-tuning of LLM, preference alignment, evaluation of LLM system, hallucination control techniques, deployment of LLM, agent-based system, prompt hacking, and miscellaneous topics. The questions are organized into 15 categories to facilitate learning and preparation.

Kollektiv is a Retrieval-Augmented Generation (RAG) system designed to enable users to chat with their favorite documentation easily. It aims to provide LLMs with access to the most up-to-date knowledge, reducing inaccuracies and improving productivity. The system utilizes intelligent web crawling, advanced document processing, vector search, multi-query expansion, smart re-ranking, AI-powered responses, and dynamic system prompts. The technical stack includes Python/FastAPI for backend, Supabase, ChromaDB, and Redis for storage, OpenAI and Anthropic Claude 3.5 Sonnet for AI/ML, and Chainlit for UI. Kollektiv is licensed under a modified version of the Apache License 2.0, allowing free use for non-commercial purposes.

AIOS, a Large Language Model (LLM) Agent operating system, embeds large language model into Operating Systems (OS) as the brain of the OS, enabling an operating system "with soul" -- an important step towards AGI. AIOS is designed to optimize resource allocation, facilitate context switch across agents, enable concurrent execution of agents, provide tool service for agents, maintain access control for agents, and provide a rich set of toolkits for LLM Agent developers.

Generative BI using RAG on AWS is a comprehensive framework designed to enable Generative BI capabilities on customized data sources hosted on AWS. It offers features such as Text-to-SQL functionality for querying data sources using natural language, user-friendly interface for managing data sources, performance enhancement through historical question-answer ranking, and entity recognition. It also allows customization of business information, handling complex attribution analysis problems, and provides an intuitive question-answering UI with a conversational approach for complex queries.

Create the most effective database or search engine queries using keywords, truncation, and Boolean operators!

Looper query strings assistant

I'm a pro paid search tool that finds negative keywords for you from Google Ads search query data. I can quickly save you a lot of money in Google paid search. Let's have a SEM party.

I conjure advanced Google search queries.

Compose BigQuery SQL queries for GA4 and Google Search Console.

Refines search queries with specific terms and includes Google links

I'm an AI specialized in building resumes and cover letters with a human touch.

Analyzes GSC data and highlights the impact of search updates.

Analyse content through the official Google Search Quality Rater Guidelines.

Expert in SEO strategies for blogging, providing insights and tips.

帮助用户优化提问，并使用中英两种语言，输出所需的搜索引擎关键字和论坛提问

Skilled at crafting search-optimized, reader-appealing topics with meta descriptions.

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SEO Expert in Product Feature Optimization. Specializes in crafting detailed, SEO-enhanced lists that highlight unique selling points for optimal search visibility. Balances technical SEO with user engagement, providing clear, accurate, relevant lists for immediate use.

I will create a blog post optimized for search engines on any topic and in any language.

GPT created by Max Del Rosso, specialising in the analysis and optimisation of SEO content. This tool develops targeted content strategies and advises on best practices for structuring articles to maximise visibility and ranking in search engine results pages (SERPs)

I'm your job search ally, tailoring resumes to fit roles!

Explore the 14,000 ranking factors, signals, and features revealed in the latest leaked Google Search docs. Updated May 2024.

I create SEO blog posts and content that ranks high with professional search engine optimization techniques used to rank content higher in search engines. Blog posts will include an SEO Optimized featured image made with Dall-E.

Advisor for job seekers, enhancing resume and interview preparation.