Best Semantic Search Software for Hugging Face
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Compare the Top Semantic Search Software that integrates with Hugging Face as of December 2025
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This a list of Semantic Search software that integrates with Hugging Face. Use the filters on the left to add additional filters for products that have integrations with Hugging Face. View the products that work with Hugging Face in the table below.
What is Semantic Search Software for Hugging Face?
Semantic search software is a type of technology that is designed to understand the intent and context of a query as well as extract relevant information from documents. It uses natural language processing and machine learning techniques to interpret user queries in order to figure out what the user is looking for. This type of technology helps to provide users with more accurate search results than traditional keyword-based searches. Semantic search software can be used in many different applications, such as web searching and text analytics. Compare and read user reviews of the best Semantic Search software for Hugging Face currently available using the table below. This list is updated regularly.
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1
txtai
NeuML
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.Starting Price: Free -
2
Pinecone
Pinecone
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.
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