Algolia leads charge for worldwide general-purpose knowledge discovery software
Search is expanding, variegating and proliferating. Search still exists on the web – that core standard is unlikely to leave us anytime soon in the next foreseeable half-century.
Deeper down we also find data search tools currently expanding across the expanse of data lakes, data marts and data exchanges now mushrooming – many of which have come into existence to serve the Large Language Models (LLMs) and vector databases driving generative Artificial intelligence (AI).
… and then there is vector-based and keyword search and discovery semantic-awareness combined with neural-level search intelligence.
Firmly established in this space is Algolia, an end-to-end AI search and discovery platform. The organization points to the fact that its engineers invented a breakthrough use of AI to create exponentially improve search & discovery. Algolia’s proprietary NeuralSearch tech combines vector-based natural language processing & keyword matching in a single API.
API-first
Now positioned as as a category leader in the IDC MarketScape for Worldwide General-Purpose Knowledge Discovery Software 2023 Vendor Assessment, Algolia says it believes this note of recognition underscores the breakthrough capabilities of Algolia’s NeuralSearch platform, a next-generation vector and keyword search in a single API with powerful, end-to-end AI processing of every query.
“Algolia is leveraging the combined power of Large Language Models (LLMs) and Retrieval-Augmented Generation (RAG) to understand searcher intent, drive more relevant, personalized results and mitigate hallucinations,” commented Hayley Sutherland, research manager for conversational AI and intelligent knowledge Discovery at IDC.
Sutherland says that as more advanced capabilities continue to be infused in commercial search systems, any business that has not yet upgraded to AI-powered search and knowledge discovery risks falling behind.
How semantic search works
Algolia uses LLMs to vectorize content and provide text encodings/embeddings. The MarketScape report notes that, “Vector search is a popular method of providing semantic search and is a critical foundation for the RAG approach used for most generative AI knowledge discovery features in production today. However, costs including storage have held many organizations back from adopting vector search. Algolia’s neural hashing technique has the potential to reduce such costs.”
Neural hashing
The use of neural hashing, which is proprietary to Algolia, mitigates costs related to vector search, overcoming a major obstacle that competitors face and making Algolia’s solution a good fit many deployments – especially for customers seeking, proprietary technology for providing vector search at scale for a wide variety of enterprise, departmental and site search use cases.
Algolia provides a variety of tools for developers and the company’s customers have highly rated its ease of integration, flexibility technical support and strong documentation of its APIs and development tools. Algolia provides 99.999% availability worldwide and 100% SLA uptime for developers.
“We are delighted to be named a Leader in this MarketScape for Worldwide General Purpose Knowledge Discovery Software 2023 Vendor Assessment. It’s not just about finding what customers are looking for; it’s about understanding their intent, predicting their desires and creating an unparalleled shopping experience. In this era of data-driven decisions, AI search is the key to unlocking customer insights, optimizing product discovery, and fostering loyalty. In this timely report, it is clear that AI Search is not merely a tool; it’s a strategic imperative for any retailer aiming to thrive in the digital age.”
Bernadette Nixon, chief executive officer, Algolia
Algolia powers 1.75 trillion search requests a year or more than 30 billion a week enabling more than 17,000 customers in 150+ countries to build fast and relevant search and discovery experiences for their in-app users and/or online visitors using any web, mobile or voice device.
About Adrian Bridgwater
Adrian Bridgwater is a freelance journalist and corporate content creation specialist focusing on cross platform software application development as well as all related aspects software engineering, project management and technology as a whole. Adrian is a regular writer and blogger with Computer Weekly and others covering the application development landscape to detail the movers, shakers and start-ups that make the industry the vibrant place that it is. His journalistic creed is to bring forward-thinking, impartial, technology editorial to a professional (and hobbyist) software audience around the world. His mission is to objectively inform, educate and challenge - and through this champion better coding capabilities and ultimately better software engineering.