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Weaviate description
Weaviate is a specialized database designed for AI applications. It allows businesses to build features like semantic search by making sense of relationships between data, not just keywords. It's open-source, meaning it's free to use and adaptable. Weaviate works well with existing AI tools and offers flexible setup options for different needs.
Who is Weaviate best for
Weaviate is an open-source vector database designed for AI applications, enabling semantic search and LLM integration. It's particularly suited for developers building features like semantic search, RAG, and other AI-native applications. Weaviate is adaptable and integrates well with existing AI tools.
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Best for medium to large businesses (101+ employees).
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Ideal for companies in the software, IT, and telecommunications industries.
Weaviate features
Supported Weaviate supports finding similar items based on semantic meaning captured in vector embeddings. |
Supported Weaviate supports full-text search across documents using keyword and vector search. |
Supported Weaviate offers AI-powered assistance for automating tasks, generating insights, and enhancing user experience. |
Supported Weaviate facilitates building generative AI applications by integrating with AI models and offering a scalable database. |
Supported Weaviate integrates generative AI capabilities from providers like OpenAI, Google, and AWS. |
Weaviate pricing
The commentary is based on 8 reviews from Weaviate G2 reviews.
Weaviate's pricing is generally considered reasonable and cost-effective, especially for its out-of-the-box cloud services. While some users desire lower prices, it's often viewed as cheaper than competitors, making it affordable for various applications and startups. However, understanding the billing system can be challenging.
See the Weaviate pricing page.
Weaviate alternatives
Chroma Vector DatabaseOpen-source AI-native embedding database for lightning-fast similarity search.Read more
Weaviate FAQ
Weaviate is an open-source vector database built for AI applications. It enables semantic search, going beyond keywords to understand relationships between data. Weaviate integrates with existing AI tools and offers flexible deployment, ideal for developers building features like RAG and LLM integration.
What is Weaviate and what does Weaviate do?
Weaviate is an open-source vector database built for AI applications. It enables semantic search, going beyond keywords to understand relationships between data. Weaviate integrates with existing AI tools and offers flexible deployment, ideal for developers building features like RAG and LLM integration.
Weaviate integrates with various tools through its API and plugins, including Kubernetes, LangChain, and Hugging Face. It supports several vector databases and allows developers to connect their preferred tools for a customized workflow. This flexible integration approach enhances Weaviate's adaptability and utility in diverse AI projects.
How does Weaviate integrate with other tools?
Weaviate integrates with various tools through its API and plugins, including Kubernetes, LangChain, and Hugging Face. It supports several vector databases and allows developers to connect their preferred tools for a customized workflow. This flexible integration approach enhances Weaviate's adaptability and utility in diverse AI projects.
Top Weaviate alternatives include Qdrant, Milvus, and MongoDB Atlas. These vector databases offer similar semantic search capabilities for AI applications. Other options, like Google Cloud BigQuery, focus on broader data warehousing and analysis.
What the main competitors of Weaviate?
Top Weaviate alternatives include Qdrant, Milvus, and MongoDB Atlas. These vector databases offer similar semantic search capabilities for AI applications. Other options, like Google Cloud BigQuery, focus on broader data warehousing and analysis.
Weaviate is a legitimate open-source vector database specializing in AI applications. It's known for its semantic search capabilities and compatibility with existing AI tools. Developers appreciate its flexibility and ability to handle complex data relationships for building advanced AI features.
Is Weaviate legit?
Weaviate is a legitimate open-source vector database specializing in AI applications. It's known for its semantic search capabilities and compatibility with existing AI tools. Developers appreciate its flexibility and ability to handle complex data relationships for building advanced AI features.
Weaviate's pricing information is not publicly available. Contact their sales team to determine if Weaviate is worth the investment for your specific needs and budget.
How much does Weaviate cost?
Weaviate's pricing information is not publicly available. Contact their sales team to determine if Weaviate is worth the investment for your specific needs and budget.
Weaviate's customer service receives mixed reviews. While some users praise the helpful and responsive support team, others report unhelpful experiences and slow response times, particularly during critical issues.
Is Weaviate customer service good?
Weaviate's customer service receives mixed reviews. While some users praise the helpful and responsive support team, others report unhelpful experiences and slow response times, particularly during critical issues.
Reviewed by
Michal has worked at startups for many years and writes about topics relating to software selection and IT management. As a former consultant for Bain, a business advisory company, he also knows how to understand needs of any business and find solutions to its problems.
Tymon is a seasoned CTO who loves finding the perfect tools for any task. He recently headed up the tech department at Batmaid, a well-known Swiss company, where he managed about 60 software purchases, including CX, HR, Payroll, Marketing automation and various developer tools.
An AI tool that observes your work, finds inefficiencies, and suggests smarter ways to do things. Maybe you can use your tools better, automate tasks, or switch software.