Best Semantic Search Software in China

Site Search 360 is a smart, ad-free search bar for your website. With a simple drag-and-drop integration, get your search up and running in no time! Let your visitors find exactly what they are looking for, right away. Features of Site Search 360 include: - Quick and easy visual configuration - Autocomplete and search suggestions - Low-to-no-code Search Designer for a customized search UX/UI - Faceted search results (filters) - Semantic search: built-in dictionaries in 19 languages + the ability to add your custom synonyms - In-depth Analytics to help you get the most out of your search: what your visitors look for the most, what results they click on, what queries bring no results, etc. - Full control over search results: boost, reorder, redirect them in no time with our low-to-no-code Result Manager - Integration with Google Analytics and Google Tag Manager - Import of Google Custom Search promotions - Awesome support: via live chat, email, or phone

Mistral AI is a pioneering artificial intelligence startup specializing in open-source generative AI. The company offers a range of customizable, enterprise-grade AI solutions deployable across various platforms, including on-premises, cloud, edge, and devices. Flagship products include "Le Chat," a multilingual AI assistant designed to enhance productivity in both personal and professional contexts, and "La Plateforme," a developer platform that enables the creation and deployment of AI-powered applications. Committed to transparency and innovation, Mistral AI positions itself as a leading independent AI lab, contributing significantly to open-source AI and policy development.

Cohere is an enterprise AI platform that enables developers and businesses to build powerful language-based applications. Specializing in large language models (LLMs), Cohere provides solutions for text generation, summarization, and semantic search. Their model offerings include the Command family for high-performance language tasks and Aya Expanse for multilingual applications across 23 languages. Focused on security and customization, Cohere allows flexible deployment across major cloud providers, private cloud environments, or on-premises setups to meet diverse enterprise needs. The company collaborates with industry leaders like Oracle and Salesforce to integrate generative AI into business applications, improving automation and customer engagement. Additionally, Cohere For AI, their research lab, advances machine learning through open-source projects and a global research community.

Elastic is a search company. As the creators of the Elastic Stack (Elasticsearch, Kibana, Beats, and Logstash), Elastic builds self-managed and SaaS offerings that make data usable in real time and at scale for search, logging, security, and analytics use cases. Elastic's global community has more than 100,000 members across 45 countries. Since its initial release, Elastic's products have achieved more than 400 million cumulative downloads. Today thousands of organizations, including Cisco, eBay, Dell, Goldman Sachs, Groupon, HP, Microsoft, Netflix, The New York Times, Uber, Verizon, Yelp, and Wikipedia, use the Elastic Stack, and Elastic Cloud to power mission-critical systems that drive new revenue opportunities and massive cost savings. Elastic has headquarters in Amsterdam, The Netherlands, and Mountain View, California; and has over 1,000 employees in more than 35 countries around the world.

Microsoft Purview is a unified data governance service that helps you manage and govern your on-premises, multicloud, and software-as-a-service (SaaS) data. Easily create a holistic, up-to-date map of your data landscape with automated data discovery, sensitive data classification, and end-to-end data lineage. Empower data consumers to find valuable, trustworthy data. Automated data discovery, lineage identification, and data classification across on-premises, multicloud, and SaaS sources. Unified map of your data assets and their relationships for more effective governance. Semantic search enables data discovery using business or technical terms. Insight into the location and movement of sensitive data across your hybrid data landscape. Establish the foundation for effective data usage and governance with Purview Data Map. Automate and manage metadata from hybrid sources. Classify data using built-in and custom classifiers and Microsoft Information Protection sensitivity labels.

Find specific answers and trends from documents and websites using search powered by AI. Watson Discovery is AI-powered search and text-analytics that uses innovative, market-leading natural language processing to understand your industry’s unique language. It finds answers in your content fast and uncovers meaningful business insights from your documents, webpages and big data, cutting research time by more than 75%. Semantic search is much more than keyword search. Unlike traditional search engines, when you ask a question, Watson Discovery adds context to the answer. It quickly combs through content in your connected data sources, pinpoints the most relevant passage and provides the source documents or webpage. A next-level search experience with natural language processing that makes all necessary information easily accessible. Use machine learning to visually label text, tables and images, while surfacing the most relevant results.

Fast and accurate AI models suited for production. Highly-available inference API leveraging the most advanced NVIDIA GPUs. We selected the best open-source natural language processing (NLP) models from the community and deployed them for you. Fine-tune your own models - including GPT-J - or upload your in-house custom models, and deploy them easily to production. Upload or Train/Fine-Tune your own AI models - including GPT-J - from your dashboard, and use them straight away in production without worrying about deployment considerations like RAM usage, high-availability, scalability... You can upload and deploy as many models as you want to production.

txtai is an all-in-one open source embeddings database designed for semantic search, large language model orchestration, and language model workflows. It unifies vector indexes (both sparse and dense), graph networks, and relational databases, providing a robust foundation for vector search and serving as a powerful knowledge source for LLM applications. With txtai, users can build autonomous agents, implement retrieval augmented generation processes, and develop multi-modal workflows. Key features include vector search with SQL support, object storage integration, topic modeling, graph analysis, and multimodal indexing capabilities. It supports the creation of embeddings for various data types, including text, documents, audio, images, and video. Additionally, txtai offers pipelines powered by language models that handle tasks such as LLM prompting, question-answering, labeling, transcription, translation, and summarization.

​NeuraVid is an AI-powered video analysis platform designed to transform video content into actionable insights. It offers advanced transcription services with industry-leading accuracy, converting speech to text while identifying multiple speakers and providing word-level timestamps. It supports over 40 languages, ensuring accessibility for a global audience. NeuraVid's AI-powered semantic search enables users to find specific moments within videos instantly, looking beyond exact matches to locate contextually relevant content. Additionally, it automatically generates smart chapters and concise summaries, facilitating effortless navigation through lengthy videos. NeuraVid also features an AI video assistant that allows users to interact with their videos, obtaining insights, summaries, and answers to questions about the content in real time.

Asimov is a foundational AI-search and vector-search platform built for developers to upload content sources (documents, logs, files, etc.), auto-chunk and embed them, and expose them via a single API to power semantic search, filtering, and relevance for AI agents or applications. It removes the burden of managing separate vector-databases, embedding pipelines, or re-ranking systems by handling ingestion, metadata parameterization, usage tracking, and retrieval logic within a unified architecture. With support for adding content via a REST API and performing semantic search queries with custom filtering parameters, Asimov enables teams to build “search-across-everything” functionality with minimal infrastructure. It is designed to handle metadata, automatic chunking, embedding, and storage (e.g., into MongoDB) and provides developer-friendly tools, including a dashboard, usage analytics, and seamless integration.

*GraphDB allows you to link diverse data, index it for semantic search and enrich it via text analysis to build big knowledge graphs.* GraphDB is a highly efficient and robust graph database with RDF and SPARQL support. The GraphDB database supports a highly available replication cluster, which has been proven in a number of enterprise use cases that required resilience in data loading and query answering. If you need a quick overview of GraphDB or a download link to its latest releases, please visit the GraphDB product section. GraphDB uses RDF4J as a library, utilizing its APIs for storage and querying, as well as the support for a wide variety of query languages (e.g., SPARQL and SeRQL) and RDF syntaxes (e.g., RDF/XML, N3, Turtle).

Welcome to the era of Big Data where data-driven insights have the power to transform your business. You're about to discover the solution: a powerful, innovative and adaptive platform power packed with every feature you need for Search, Discovery & Analytics of your data. We have named it 3RDi "Third Eye". It's the semantic search engine your enterprise needs to help you take action, boost revenues and cut costs! Powered by NLP and semantic search, it is designed for multidimensional information analysis and easy search relevancy management. Discover the comprehensive scalable platform for every challenge in search & text mining, from management and exploitation of unstructured content to deriving deeper actionable insights that boost your business. 3RDi isn't merely a search solution. It is a comprehensive stack of solutions for text mining, enterprise search, content integration, governance, analytics and much more.

The AI Knowledge Platform. The Pinecone Database, Inference, and Assistant make building high-performance vector search apps easy. Developer-friendly, fully managed, and easily scalable without infrastructure hassles. Once you have vector embeddings, manage and search through them in Pinecone to power semantic search, recommenders, and other applications that rely on relevant information retrieval. Ultra-low query latency, even with billions of items. Give users a great experience. Live index updates when you add, edit, or delete data. Your data is ready right away. Combine vector search with metadata filters for more relevant and faster results. Launch, use, and scale your vector search service with our easy API, without worrying about infrastructure or algorithms. We'll keep it running smoothly and securely.

Semantee is a hassle-free easily configurable managed database optimized for semantic search. It is provided as a set of REST APIs, which can be integrated into any app in minutes and offers multilingual semantic search for applications of virtually any size both in the cloud and on-premise. The product is priced significantly more transparently and cheaply compared to most providers and is especially optimized for large-scale apps. 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.

Connect your LLM applications to the world, and access clean, accurate, high-quality context. Get enhanced search details from billions of web documents, including news, images, videos, and more. It achieves ranking performance of 280M~560M models with only 80M parameters, offering faster inference and lower cost.

Natively store data for graph, document and search needs. Utilize feature-rich access with one query language. Map data natively to the database and access it with the best patterns for the job – traversals, joins, search, ranking, geospatial, aggregations – you name it. Polyglot persistence without the costs. Easily design, scale and adapt your architectures to changing needs and with much less effort. Combine the flexibility of JSON with semantic search and graph technology for next generation feature extraction even for large datasets.

TopK is a serverless, cloud-native, document database built for powering search applications. It features native support for both vector search (vectors are simply another data type) and keyword search (BM25-style) in a single, unified system. With its powerful query expression language, TopK enables you to build reliable search applications (semantic search, RAG, multi-modal, you name it) without juggling multiple databases or services. Our unified retrieval engine will evolve to support document transformation (automatically generate embeddings), query understanding (parse metadata filters from user query), and adaptive ranking (provide more relevant results by sending “relevance feedback” back to TopK) under one unified roof.