Alternatives to Qdrant

AddSearch provides lightning-fast, effortless, and customizable site search for any website or web application. Use our Crawler or Indexing API to index your content and keep it up-to-date. AddSearch also supports with search UI build and search setup. With enterprise-level features, such as autocomplete, synonyms, ranking tools, and progressive ranking, AddSearch scales to any needs from small businesses to large corporations.

SearchStax provides end-to-end search solutions to improve the search experience. SearchStax Site Search is a site search solution that enables companies to quickly, easily, and cost-effectively implement a high-quality search experience. SearchStax Manged Search is a fully managed Solr service to help minimize the need to managed search infrastructure. We have over 700 clients in 20+ countries. We were recognized by G2 as a High Performer for Enterprise Search. Site Search for Your Website Made Easy SearchStax Site Search provides advanced, modern, and personalized search for your website. • Best-in-Class search experience • Actionable search insight for executives and managers • Self-service tools that the marketing team can use to update and optimize search results without the need for developers • Quick Implementation for developers Fully-Managed Solr Service in the Cloud SearchStax Managed Search, a fully managed, hosted Solr service that automates, manages, and scales high-availability Solr infrastructures in public or private clouds. • Spend more time on value-added projects and build faster. • Scale faster with automation • Lower incident and SLA costs reduce costs

Algolia is an API platform for dynamic experiences that helps businesses maximize the speed of search and discovery, while solving the pain of relevance tuning through AI. Accessing the right piece of content on websites and apps has never been faster or more intuitive. Algolia Search is a powerful, fully hosted API that delivers content to users in milliseconds. Developers can customize the relevance of their user experience and get insights on how users interact with it. Algolia Recommend is a robust API that allows you to build unique product recommendations into any digital e-commerce experience.

Expertrec lets you add a custom search engine to your website/online store without any coding. It has a powerful control panel that lets you customize the look and feel of your search engine to match the theme of your website.  Features: Personalized search Autocomplete Spell correction Voice search Search as you type Faceted search PDF, XLS, DOCs search Indexing behind login pages Integrates across all major CMS platforms. WordPress / Joomla / Drupal/ Woocommerce/Shopify and more. Multiple languages supported Low latency high speed search Rated the best solution in our Category, with the highest customer ratings and success rates. Most cost-effective solution for your search needs.

Wizzy is an intelligent site search solution for eCommerce website owners. It offers comprehensive site search solutions, such as user-friendly search, user-friendly filter, merchandising, and personalisation. Benefits of using Wizzy -->Quickest Search results -Wizzy can help the end consumer find your products so quickly that they will never visit another site. -->Contextual search results -Since Wizzy is AI-powered, it can understand even if the customer uses a different search term. -->Improved sales - Wizzy helps customers find the right products faster, thus improving your overall sales. -->Influencer search results -Wizzy allows you to influence search results based on the SKUs you wish to show up at the top, or you can personalise search results for customers. Due to its ML-powered nature, Wizzy will continuously improve the customer experience. Try Wizzy now! 15-day Free trial!

Searching and analyzing structured data is easy; however, over 80% of generated data is unstructured, requiring a different approach. Machine learning converts unstructured data into high-dimensional vectors of numerical values, which makes it possible to find patterns or relationships within that data type. Unfortunately, traditional databases were never meant to store vectors or embeddings and can not meet unstructured data's scalability and performance requirements. Zilliz Cloud is a cloud-native vector database that stores, indexes, and searches for billions of embedding vectors to power enterprise-grade similarity search, recommender systems, anomaly detection, and more. Zilliz Cloud, built on the popular open-source vector database Milvus, allows for easy integration with vectorizers from OpenAI, Cohere, HuggingFace, and other popular models. Purpose-built to solve the challenge of managing billions of embeddings, Zilliz Cloud makes it easy to build applications for scale.

Artificial intelligence long-term memory The Pinecone vector database makes building high-performance vector search apps easy. Fully managed and developer-friendly, the database is easily scalable without any infrastructure problems. Once you have vector embeddings created, you can search and manage them in Pinecone to power semantic searches, recommenders, or other applications that rely upon relevant information retrieval. Even with billions of items, ultra-low query latency Provide a great user experience. You can add, edit, and delete data via live index updates. Your data is available immediately. For more relevant and quicker results, combine vector search with metadata filters. Our API makes it easy to launch, use, scale, and scale your vector searching service without worrying about infrastructure. It will run smoothly and securely.

Astra DB from DataStax is a real-time vector database as a service for developers that need to get accurate Generative AI applications into production, fast. Astra DB gives you a set of elegant APIs supporting multiple languages and standards, powerful data pipelines and complete ecosystem integrations. Astra DB enables you to quickly build Gen AI applications on your real-time data for more accurate AI that you can deploy in production. Built on Apache Cassandra, Astra DB is the only vector database that can make vector updates immediately available to applications and scale to the largest real-time data and streaming workloads, securely on any cloud. Astra DB offers unprecedented serverless, pay as you go pricing and the flexibility of multi-cloud and open-source. You can store up to 80GB and/or perform 20 million operations per month. Securely connect to VPC peering and private links. Manage your encryption keys with your own key management. SAML SSO secure account accessibility. You can deploy on Amazon, Google Cloud, or Microsoft Azure while still compatible with open-source Apache Cassandra.

Luigi's Box is a unique technological solution that uses AI to bring customers only relevant search results and personalized product suggestions, enhances the user experience, and unlocks the potential of your business. It is a year-by-year awarded easy-to-operate solution with a support team that acts in the interest of your continuous success. Luigi's Box offers easy no-code self-service integration - you only need to paste the tracking script into the header of your web. But there is more; we understand that every platform has different needs and preferences, and therefore we offer several more integration options to choose from. Luigi's Box offers several advanced features to increase search relevance and revenue and avoid fruitless searches and other unnecessary troubles, which reached out and helped companies such as O2, Mountfield, and Dr.Max. These use cases are proof that Luigi's Box is suitable for any business or industry platform on the online market.

MyScale is a cutting-edge AI database that combines vector search with SQL analytics, offering a seamless, fully managed, and high-performance solution. Key features of MyScale include: - Enhanced data capacity and performance: Each standard MyScale pod supports 5 million 768-dimensional data points with exceptional accuracy, delivering over 150 QPS. - Swift data ingestion: Ingest up to 5 million data points in under 30 minutes, minimizing wait times and enabling faster serving of your vector data. - Flexible index support: MyScale allows you to create multiple tables, each with its own unique vector indexes, empowering you to efficiently manage heterogeneous vector data within a single MyScale cluster. - Seamless data import and backup: Effortlessly import and export data from and to S3 or other compatible storage systems, ensuring smooth data management and backup processes. With MyScale, you can harness the power of advanced AI database capabilities for efficient and effective data analysis.

One tool allows you to operationalize your embeddings. A comprehensive database that provides embedding functionality previously unavailable on multiple platforms is now available to you. Embeddinghub makes it easy to accelerate your machine learning. Embeddings are dense numerical representations of real world objects and relationships. They can be expressed as vectors. They are often created by first defining an unsupervised machine learning problem, also known as a "surrogate issue". Embeddings are intended to capture the semantics from the inputs they were derived. They can then be shared and reused for better learning across machine learning models. This is possible with Embeddinghub in an intuitive and streamlined way.

Vespa is forBig Data + AI, online. At any scale, with unbeatable performance. Vespa is a fully featured search engine and vector database. It supports vector search (ANN), lexical search, and search in structured data, all in the same query. Integrated machine-learned model inference allows you to apply AI to make sense of your data in real-time. Users build recommendation applications on Vespa, typically combining fast vector search and filtering with evaluation of machine-learned models over the items. To build production-worthy online applications that combine data and AI, you need more than point solutions: You need a platform that integrates data and compute to achieve true scalability and availability - and which does this without limiting your freedom to innovate. Only Vespa does this. Together with Vespa's proven scaling and high availability, this empowers you to create production-ready search applications at any scale and with any combination of features.

Semantee, a managed database that is easy to configure and optimized for semantic searches, is hassle-free. It is available as a set REST APIs that can be easily integrated into any application in minutes. It offers multilingual semantic searching for applications of any size, both on-premise and in the cloud. The product is significantly cheaper and more transparent than most providers, and is optimized for large-scale applications. Semantee also offers an abstraction layer over an e-shop's product catalog, enabling the store to utilize semantic search instantly without having to re-configure its database.

Vald is a distributed, fast, dense and highly scalable vector search engine that approximates nearest neighbors. Vald was designed and implemented using the Cloud-Native architecture. It uses the fastest ANN Algorithm NGT for searching neighbors. Vald supports automatic vector indexing, index backup, horizontal scaling, which allows you to search from billions upon billions of feature vector data. Vald is simple to use, rich in features, and highly customizable. Usually, the graph must be locked during indexing. This can cause stop-the world. Vald uses distributed index graphs so that it continues to work while indexing. Vald has its own highly customizable Ingress/Egress filter. This can be configured to work with the gRPC interface. Horizontal scaling is available on memory and cpu according to your needs. Vald supports disaster recovery by enabling auto backup using Persistent Volume or Object Storage.

Chroma is an AI-native, open-source embedding system. Chroma provides all the tools needed to embeddings. Chroma is creating the database that learns. You can pick up an issue, create PRs, or join our Discord to let the community know your ideas.

Zevi is a site-search engine that uses natural language processing (NLP), and machine learning (ML), to better understand users' search intent. Zevi uses its ML models to produce the most relevant search results instead of relying on keywords. They have been trained using vast amounts of multilingual data. Zevi is able to deliver highly relevant results regardless of search query, providing users with an intuitive search experience that minimizes cognitive load. Zevi also allows website owners to create personalized search results, promote specific search results based upon different criteria, and use search data to inform business decisions.

Weaviate is an open source vector database. It allows you to store vector embeddings and data objects from your favorite ML models, and scale seamlessly into billions upon billions of data objects. You can index billions upon billions of data objects, whether you use the vectorization module or your own vectors. Combining multiple search methods, such as vector search and keyword-based search, can create state-of-the art search experiences. To improve your search results, pipe them through LLM models such as GPT-3 to create next generation search experiences. Weaviate's next generation vector database can be used to power many innovative apps. You can perform a lightning-fast, pure vector similarity search on raw vectors and data objects. Combining keyword-based and vector search techniques will yield state-of the-art results. You can combine any generative model with your data to do Q&A, for example, over your dataset.

Postgres: Open-source vector similarity search Supports exact and approximate closest neighbor search for L2 distances, inner product and cosine distances.

Vectara offers LLM-powered search as-a-service. The platform offers a complete ML search process, from extraction and indexing to retrieval and re-ranking as well as calibration. API-addressable for every element of the platform. Developers can embed the most advanced NLP model for site and app search in minutes. Vectara automatically extracts text form PDF and Office to JSON HTML XML CommonMark, and many other formats. Use cutting-edge zero-shot models that use deep neural networks to understand language to encode at scale. Segment data into any number indexes that store vector encodings optimized to low latency and high recall. Use cutting-edge, zero shot neural network models to recall candidate results from millions upon millions of documents. Cross-attentional neural networks can increase the precision of retrieved answers. They can merge and reorder results. Focus on the likelihood that the retrieved answer is a probable answer to your query.

Intelligent search converts more. Intelligent search engine designed for e-commerce allows you to personalize your search experience and show the most relevant products. One engine designed for ecommerce. With faceted search, you can automatically recognize customer search intent and context. Intelligent autocorrect ensures that you deliver the correct search result every single time, even if searchers misspell words or make innocent typos. Synonym detection across multiple languages allows you to show relevant search results in languages other than English. You can create the best user experience by simply adding custom UX-blocks to any product attribute that you wish for easy filtering. Include relevant content from your blog, CMS pages, and categories.

Prefixbox’s AI Search, AI Navigation, AI Recommend and Insights solutions improve the shopping experience for increased conversion rate and revenue.

Keyspider is a cloud-based enterprise search engine that provides accurate search results. Keyspider allows you to create your own custom website search without additional cost or time. Keyspider is able to understand the customer's needs and deliver the right results for their search queries. Websites can now enjoy better search results and more conversions. It aims to change the way customers navigate through customer websites using a search-as a-service that leaves no stone unturned. With tailored search, you can increase relevance across all mediums.

Celebros' powerful recommendation engine "knows," like any good salesperson. It suggests additional items to your customers as they shop. Cross Sell's intuitive merchandising technology uses real-time search data and behavioral analytics data to suggest products that may be of interest to your customers. Cross-Sell allows customers to search for and purchase complementary products to the products they are currently shopping. Cross-Sell uses natural language semantic algorithms and past purchases to suggest products that will increase your average order value (AOV) and give you a more personal shopping experience. You can set recommendations to display results based upon your merchandising requirements. Different categories, brands, and SKU's may require different cookie cutter suggestions.

Klevu is an intelligent site-search solution that helps e-commerce businesses increase their onsite sales and improve customer online shopping experience. Klevu powers the navigation and search experience for thousands of enterprise and mid-level online retailers. It leverages advanced semantic search, natural word processing, merchandising, and multilingual capabilities to ensure that visitors to your site find exactly the information they need, regardless of device or query complexity.

Automate product discovery to learn customer intent. Machine learning can optimize results across the board. Personalize search, autosuggests, browse, and recommendation results for each user. Computational approaches that infer intent from a user's search query. Continuously updated search results rankings using automated learning from behavioral data. Data-driven, integrated effort to provide unique results for every person and query. Advanced tools to complement automated results with merchant expertise. Automate product discovery to learn customer intent. Machine learning can optimize results across the board. You can personalize search, autosuggest and browse results for each user. Natural language processing interprets the query and provides conversion-worthy results as users type. Constructor Search learns from behavioral data.

Big Zeta Keyword Search was designed to meet the unique needs of B2B businesses. It is easy to use and maintain and offers sophisticated reporting and management of your search program. Don't worry about search results being unreliable or user experience being too slow. Our cutting-edge technology delivers. Start prioritizing site search. You can make keyword search a key part of your digital strategy with our cutting-edge functionality and robust analytical platform. Big Zeta keyword searches are fast and easy to use. They provide accurate context leveraging from multiple data sources, an intuitive interface, and the correct results at the right time and location. Big Zeta Keyword search can be maximized via a site crawl, or through connectors to your content and product systems. Automated refreshes will keep your results current. You can be sure that your site displays the most recent results.

Our AI technology will handle the rest. Copy and paste your queries or type directly into our search box. Accurate search results increase efficiency by 50-80%. JAQI®, a product description translator, makes life easier for buyers by converting their descriptions into searchable terms. Your ecommerce clients or sales reps do not need to "match" your catalog. Our search technology supports industrial material with flexible customization options. Bye-bye to the inefficient dropdown menus and filters that require you to search one line item at a given time. Search 10, 20, or 100+ line items at once and add them to your quote within seconds. JAQI API plug in easily integrates with ecommerce applications, such as websites and ERP systems, to provide fast and accurate results for your customers. Our technology makes it easier and faster than ever to find any product from any catalog, in any format. JAQI powers AI search technology for your ecommerce site or ERP.

Lily AI improves the shopping experience by injecting consumer-centric words throughout the retail ecosystem. This maximizes technology investments and can deliver upwards to a nine-figure revenue boost. Lily AI transforms qualitative product attributes into a universal mathematical language that is centered on the customer, with unprecedented accuracy. This results in a scale and depth of attribution no other solution can match. Fuel your existing ecommerce platform, search engine and PIM tools, SEO/SEM, and SEO/SEM with the most accurate and deepest product attribution data available in commerce. Over 20,000 attributes are included.

Are you looking for powerful onsite searches? You want an instant & fully-featured onsite searching? One that is affordable and easy to use. Say hello to Sooqr, an onsite search engine that makes visitors happy and increases your search conversion. It can be installed in under 15 minutes without the assistance of a developer. It integrates with many eCommerce platforms. Sooqr has all the features you need with no setup hassle. It's also affordable. Sooqr needs only one keystroke to find the relevant results. It's called "instant search". There is no waiting and no irritation from visitors. It's quick and easy. Sooqr is not averse to typos. Sooqr will not tolerate typos. Our tolerance for errors can resolve up to 80% of visitors' mistakes. Sooqr will show you the relevant filters and facets while result sets are loaded. This makes it easier for your visitors find the product or content that they are looking for.

A vector database designed for scalable similarity searches. Open-source, highly scalable and lightning fast. Massive embedding vectors created by deep neural networks or other machine learning (ML), can be stored, indexed, and managed. Milvus vector database makes it easy to create large-scale similarity search services in under a minute. For a variety languages, there are simple and intuitive SDKs. Milvus is highly efficient on hardware and offers advanced indexing algorithms that provide a 10x speed boost in retrieval speed. Milvus vector database is used in a variety a use cases by more than a thousand enterprises. Milvus is extremely resilient and reliable due to its isolation of individual components. Milvus' distributed and high-throughput nature makes it an ideal choice for large-scale vector data. Milvus vector database uses a systemic approach for cloud-nativity that separates compute and storage.

A user-friendly interface will help you improve your embedding metadata, and embedding tokens. Apply advanced NLP cleaning techniques such as TF-IDF to normalize and enrich your embedded tokens. This will improve efficiency and accuracy for your LLM applications. Optimize relevance of content returned from vector databases by intelligently splitting and merging content based on structure, adding void or invisible tokens to make chunks more semantically coherent. Embedditor can be installed locally on your PC, in your enterprise cloud or on premises. Embedditor's advanced cleansing techniques can help you save up to 40% in embedding costs and vector storage by filtering out non-relevant tokens such as stop-words and punctuation.

Use user feedback and semantic relevance to reliably retrieve optimal document chunks for your retrieval-augmented generation system. In your search system, combine semantic relevance with document freshness because recent results are more accurate. Create a personalized ecommerce feed in real-time using user vectors based on the SKU embeddings that were viewed by the user. A vector index in your warehouse can be used to discover behavioral clusters among your customers. Use spaces to build your indices, and run queries all within a Python Notebook.

Create and manage AI applications without the need to move data to complex vector databases and pipelines. Integrate AI, vector search and real-time inference directly with your database. Python is all you need. All your AI models can be deployed in a single, scalable deployment. The AI models and APIs are automatically updated as new data is processed. You don't need to duplicate your data or create an additional database to use vector searching and build on it. SuperDuperDB allows vector search within your existing database. Integrate and combine models such as those from Sklearn PyTorch HuggingFace, with AI APIs like OpenAI, to build even the most complicated AI applications and workflows. With simple Python commands, deploy all your AI models in one environment to automatically compute outputs in your datastore (inference).

NoCode, JavaScript components and REST APIs make it easy to create the most complex app search experiences. You can ship 10x faster if you build search on your favorite stack. You can detect user intent, set search settings, synonyms, and business rules, and deploy in seconds. Continuous relevance and engagement improvements are possible with out-of-the box search analytics and insights. Appbase.io is powered and managed by Elasticsearch, an industry-leading search engine. Appbase.io allows you to bring your Elasticsearch host or Elasticsearch search engine. Appbase.io's app layer cache offers an industry-leading search performance. Available in 16 regions worldwide with 2x failover protection. You can also self-host using our Docker image. You can set granular access controls that are based on routes and fields. You can also create multiple special purpose keys. You can set rate limits, limit IPs, and much more. To securely collaborate on appbase.io, create access policies for your team members.

Swiftype Site Search provides businesses and their customers a fast and flexible site search experience. Swiftype Site Search allows businesses to add a search function to their website. This will allow customers, readers, and followers to find highly relevant results. The solution can be tailored to meet the specific needs of a business, whether it's an online shop looking to increase conversion rates, or an online publication looking to boost engagement.

360deg relevancy across Websites, Ecommerce and Service. Every interaction, recommendation, search is made better. We help businesses deliver the experiences people want. The Coveo Relevance Cloud is the first step to relevant search. Self-optimizing AI allows you to harness the power of every click and query. You can deliver better experiences by noticing search relevance from Day 1. Then scale to full 360 degree relevance. Every query and click tells you what your customer wants. You'll be able to provide relevant product results and product and content recommendations that customers will want to 'add it to cart'. With AI-powered customer self service and AI-assisted agent answers, connect each customer to the most relevant answers quicker.

Fusion transforms siloed data into unique insights for each user. Lucidworks Fusion allows customers to easily deploy AI-powered search and data discovery applications in a modern, containerized cloud-native architecture. Data scientists can interact with these applications by using existing machine learning models. They can also quickly create and deploy new models with popular tools such as Python ML and TensorFlow. It is easier and less risk to manage Fusion cloud deployments. Lucidworks has modernized Fusion using a cloud-native microservices architecture orchestrated and managed by Kubernetes. Fusion allows customers to dynamically manage their application resources according to usage ebbs, flows, and reduce the effort of deploying Fusion and upgrading it. Fusion also helps avoid unscheduled downtime or performance degradation. Fusion supports Python machine learning models natively. Fusion can integrate your custom ML models.

You can access countless corporate documents and systems, regardless of platform, and keep track millions of data. A combination of state-of-the art neural search techniques, enterprise search functionality, and many standard connectors create a new search experience. INTERGATOR Cloud can also be hosted by a German hoster. This allows you to comply with all requirements of German and European law, especially data protection. We adapt to your needs. INTERGATOR Cloud is easily scaleable to meet your search needs. You can search your company data anywhere in the world, and access information without complicated VPN solutions. Natural Language Processing (NLP), and neural networks are used to train models that can extract the most important information from documents and data, and then consider the entire information stock. This comprehensive solution provides you with the best information and knowledge management.

Intelligent search and merchandising are essential tools for online retailers. eSales offers e-commerce managers AI-powered, business-oriented online merchandising that increases customer life-value. It combines Site search with Navigation, Recommendations and Ads into one integrated solution. Each component learns from the other and informs it, which leads to a more relevant user experience and higher conversions. The system can learn from visitors' behavior and anticipate their intent. It then adapts automatically to optimize product ranking to meet your business objectives. eSales automates repetitive and manual tasks, allowing the merchandising staff to focus on creative activities. The system is always on alert, so you can spot trends and respond immediately to any opportunities.

Faiss is a library that allows for efficient similarity searches and clustering dense vectors. It has algorithms that can search for vectors of any size. It also includes supporting code for parameter tuning and evaluation. Faiss is written entirely in C++ and includes wrappers for Python. The GPU is home to some of the most powerful algorithms. It was developed by Facebook AI Research.

Sinequa is an intelligent enterprise search that connects workers in the digital workplace to the information, expertise, and insights they require to do their jobs. It can handle large and complex data volumes and ensure compliance in even the most challenging environments. Employees can access relevant information and insights to increase innovation and customer responsiveness. Intelligent search empowers people to do their jobs more effectively, which results in significant cost savings. Employees can get insights from their work context to help them comply with regulations quickly and reduce financial and reputational risk. Sinequa’s Neural Search provides the most sophisticated engine for discovering enterprise information assets available on the market today. By combining state-of-the-art deep learning language models with the best NLP and statistical techniques, employees and customers spend less time searching for information and more time developing insights to drive decisions and solutions.

Visitors to a web shop don't know the number of the items they are looking at. Many customers use the search function in the store. Except for Ali Express, the search options are limited to a string search. Visitors don't need to know the exact names of the stores in which they are searching for the items they are looking. WizSoft search allows you to embed search capabilities that are similar in nature to Google or Ali Express. The user simply enters what he or she remembers. WizSoft Search automatically completes queries listing names that are phonetically identical. WizSoft Search can easily be embedded in any web app. WizSoft Search works fast even if the data contains many millions of records.

We've been working on Generative AI for 5 years. Deep Lake combines the power and flexibility of vector databases and data lakes to create enterprise-grade LLM-based solutions and refine them over time. Vector search does NOT resolve retrieval. You need a serverless search for multi-modal data including embeddings and metadata to solve this problem. You can filter, search, and more using the cloud, or your laptop. Visualize your data and embeddings to better understand them. Track and compare versions to improve your data and your model. OpenAI APIs are not the foundation of competitive businesses. Your data can be used to fine-tune LLMs. As models are being trained, data can be efficiently streamed from remote storage to GPUs. Deep Lake datasets can be visualized in your browser or Jupyter Notebook. Instantly retrieve different versions and materialize new datasets on the fly via queries. Stream them to PyTorch, TensorFlow, or Jupyter Notebook.

Hawksearch offers the best features to help you define your visitors' search experience. Hawksearch is a great tool for achieving your business goals, whether you are selling products, indexing multiple systems or searching content. Hawksearch allows me to send targeted messages and promotions to your site visitors. Hawksearch allows me to highlight products or content that I want to highlight. Hawksearch gives you the ability to do more with fewer lines of code by combining the best of SaaS, custom development, and SaaS. The website visitor's search terms are used to connect the data to PIM, ERP, or ecommerce systems. Hawksearch is a platform-agnostic tool built on Open Source Lucene technology and.NET technology. Hawksearch uses advanced machine learning and pattern analysis in order to determine the best search experience for users.

Create an ecommerce search experience that converts buyers to shoppers by creating relevant and personalized search results. Convert more shoppers by creating contextual relevance. Personalize the category pages to create an exceptional shopping experience for shoppers. Personalized product suggestions can increase cart size and AOV. To publish large amounts of content, you can use AI and Digital Asset management. AI-models that make site search intelligent, relevant, and personalized. Site-Search that converts buyers into shoppers across all devices: desktop, mobile, and web. Your shoppers will enjoy a smooth and fast ecommerce search experience. To help shoppers make informed business decisions, track their affinity and purchase behaviour. Get a 360-degree view of your business and deep insight.

Yext (NYSE: YEXT) offers a software platform that helps organizations deliver relevant, actionable answers everywhere their customers, employees, and partners look for information. Learn more at yext.com.

Convertopia is a leading site search solution. Convertopia offers high-quality solutions to eCommerce platforms. These solutions include on-site search, automated completion, merchandising and analytics, reports and many other high-quality options. Online businesses can create a positive customer experience that increases their customers' loyalty and helps them increase their conversation rates. We make it easy to highlight the customer's intent and connect them instantly with the right channels for engagement. Convertopia's expert team and unique product offering are on a mission to provide retailers with dynamic capabilities that help them achieve their business goals.

The integrated platform for marketing, merchandising and conversions. Customers don't want to be sold one-size fits all products. Reflektion uses AI to provide a system that allows you to create relevant digital experiences for customers. Reflektion's wide range of integration options allows you to reap the benefits of our robust intelligence system, no matter how your website or retail store is set up. Poor site search can lead to lost revenue opportunities. Manage your inventory and create unique searches to get your products found. Unlock deep and disruptive AI-driven eCommerce capabilities. Merchandisers can simplify workflows and allow global site expansion and management with the best-in-class controls. You can achieve your eCommerce KPIs. Get instant business insights and global integrated analytics to help achieve performance improvements centered on metrics like conversion rates.

Searchspring delivers the ultimate shopping experience. As the #1 search, merchandising, and personalization platform built exclusively for ecommerce, Searchspring enables brands to get the right product, to the right person, at the right time.

Webtrends Optimize, a powerful enterprise-grade experimentation platform, offers a range of website optimization tools to improve your visitors' digital experience. All users have full access to all features as a standard. This means that there are no tiers or paywall features and that upgrades are not required. Website optimization is the process of improving website performance. Sites will typically have several success goals or metrics that must be met to be optimized, such as a sales funnel. Website optimization can be improved by improving site speed (SSO), conversion rate optimisation (CRO), or even search engine optimisation (SEO). Webtrends Optimize, a powerful and easy-to-use personalization and testing platform that uses Conversion Rate Optimisation tools (CRO), can help you drive better visitor experiences and increase your ROI.