
AddSearch transforms the way organizations connect users with information. More than just a traditional site search, AddSearch now offers AI Answers and AI Conversations, enabling businesses to deliver direct, conversational, and context-aware responses to user queries. These advanced capabilities complement AddSearch’s proven site search and content recommendation solutions, helping organizations create effortless, engaging, and personalized digital experiences.
With AddSearch, you can choose between AI-driven answers, conversational interfaces, or lightning-fast search results—all fully customizable for websites, e-commerce platforms, or web applications. Our Crawler and Indexing API ensure your content is always up-to-date, while our expert implementation services save valuable developer time and maximize results.
Today, nearly 2,000 customers worldwide—across Media, Telecommunications, Government, Education, E-commerce, and more—trust AddSearch to provide best-in-class search and AI-driven discovery.
AddSearch product portfolio includes:
- AI Answers – instant, accurate, and direct responses powered by generative AI.
- AI Conversations – natural, chat-like interactions for deeper user engagement.
- Autocomplete & Smart Ranking – predictive suggestions and optimized result ordering.
- Personalized Search – tailored experiences based on behavior and preferences.
- Content & Product Recommendations – boost engagement and conversions.
- Advanced Analytics – insights into user behavior
- Flexible Content Controls – include/exclude content, synonyms, filters, and facets, promote
- Enterprise Features – SSO, organizational user management, audit logs, SLA up to 99.999%.
- Seamless Implementation – works with any CMS, via crawler or API
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We collaborate closely with you to ensure that your email providers refrain from delivering spam to your inbox. Within just a few weeks, our clients have reported their open rates skyrocketing to more than double! Recipients who are highly engaged tend to open emails and actively scroll through the content as they read. This engagement should occur for nearly all opened emails, provided that the information is concise enough to fit within a single page. When a recipient retrieves an email from the spam folder, it indicates to the inbox provider that they believe an error has occurred. Furthermore, if someone shifts an email from the promotions tab to the primary inbox, it signals to the provider that their sorting method may not align with user preferences. Such actions suggest that those emails, along with others like them, should be directed straight to the main inbox. This behavior demonstrates genuine interest in the content of the email, leading inbox providers to interpret it as "This message is of utmost importance; please ensure it is not categorized as spam." As a result, building a positive relationship with your email recipients can significantly enhance your overall engagement rates.
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Qdrant
Qdrant operates as an advanced vector similarity engine and database, providing an API service that allows users to locate the nearest high-dimensional vectors efficiently. By leveraging Qdrant, individuals can convert embeddings or neural network encoders into robust applications aimed at matching, searching, recommending, and much more. It also includes an OpenAPI v3 specification, which streamlines the creation of client libraries across nearly all programming languages, and it features pre-built clients for Python and other languages, equipped with additional functionalities. A key highlight of Qdrant is its unique custom version of the HNSW algorithm for Approximate Nearest Neighbor Search, which ensures rapid search capabilities while permitting the use of search filters without compromising result quality. Additionally, Qdrant enables the attachment of extra payload data to vectors, allowing not just storage but also filtration of search results based on the contained payload values. This functionality significantly boosts the flexibility of search operations, proving essential for developers and data scientists. Its capacity to handle complex data queries further cements Qdrant's status as a powerful resource in the realm of data management.
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Sift
Sift is a user-friendly, lightweight filtering tool that enables real-time content filtering on websites without the need for complex programming. It empowers users to combine multiple criteria and apply various filters for highly accurate results. With features like alphabetical and date sorting, along with customizable batch loading and dynamic pagination, Sift enhances the usability of any content platform. The system incorporates CSS animations for seamless visual transitions, while also providing item counts for both total and filtered results. Users have the convenience of resetting filters with a single click, and the system efficiently manages scenarios where there are "no results" to display. Sift seamlessly integrates with any website builder that supports custom attributes and requires very little setup; simply add custom attributes to the HTML elements and initialize it with one script. This makes Sift particularly well-suited for blogs, portfolios, and content libraries. By improving content accessibility and navigation, Sift ultimately enriches the overall user experience and keeps visitors engaged longer. Additionally, its straightforward implementation ensures that even those with minimal technical skills can take advantage of its powerful filtering capabilities.
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