Weaviate
Tap into the expertise of Weaviate’s advanced vector search capabilities with our expert team to create AI-driven solutions that transform your organization’s unstructured data
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Platform Overview
Weaviate is an AI-powered, open-source platform that simplifies building next-gen applications. It empowers developers with vector search, multilingual capabilities, and machine learning integrations, enabling them to build powerful search experiences and unlock the hidden connections in their data faster than ever
Maximize your results with our complete Weaviate services
Power up your applications with our Weaviate vector search services
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Vector Search & Similarity Search
Weaviate's vector search capabilities allow you to find similar data points based on the semantic meaning, not just exact keywords. The service also enables more relevant and intuitive search results, especially when dealing with unstructured data like images or text
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Hybrid Search
The hybrid search service combines the power of vector search with traditional keyword searching, giving the best of both worlds. It allows users to find data based on semantic meaning and specific keywords, delivering more accurate and comprehensive results
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Real-time Data Ingestion & Indexing
The platform supports real-time data ingestion and indexing, ensuring that the search results are always up to date. It is particularly valuable for apps that require timely access to the latest information, like news, social media, etc
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Knowledge Graph Creation
The knowledge graph creation facilities visually represent relationships between different data points. By connecting data in a meaningful way, knowledge graphs help users uncover insights and patterns that might otherwise be hidden
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Customizable Machine Learning Models
Weaviate allows the user to integrate and customize machine learning models, enabling you to tailor the applications for specific use cases. It can be used for other tasks like personalization, predictive analytics, and data enrichment
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Multi-Modal Data Support
Weaviate supports multi-modal data, meaning it can handle data in different formats like audio, images, text, and more. This service provides flexibility and allows one to build applications that can process and analyze a wide range of data types
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Schema-less Data Management
The Scheme less data management offers flexibility to modify or add data structures without having to build a defined and rigid scheme upfront. It can simplify the development process and accommodate evolving data requirements
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Contextual AI-powered Recommendations
Weaviate's contextual AI-powered recommendations service enables businesses to provide personalized experiences to their customers. By understanding the context of users' preferences, and queries, Weaviate can recommend relevant content or products
Case Studies
Glimpse of our proven results across various industries
We empower our clients with the latest technology
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Speed - A leading AI-powered crypto platform to ensure the security of transactions
Speed primarily aims to collaborate with AI to identify and point out suspicious crypto transactions in real time. It provides a secure environment for all users to maintain the proper crypto transactions.
Technology Used
- Data Storage - SQL/NoSQL
- Data Processing- Apache Spark
- ML Frameworks- TensorFlow and Scikit-learn
- Real-time Processing- Apache Kafka
- Deployment- Docker and Kubernetes
Key Features
- AI better the detection rate of fraudulent transactions
- Real-time analysis, minimizing potential losses
- Reduced False Positives
TracknTake - Discover and Deliver all products: Your Local Marketplace at Your Fingertips
The platform empowers users to search for products available in their local area. TracknTake’s beneficial feature is a flexible pick-up, which cuts wait time. It enhances the shopping experience, offering convenience and reducing delivery costs and time
Technology Used
- Backend - Python, PHP Laravel
- Frontend- Android - Kotlin, IOS- Swift
Key Features
- Find products nearby easily
- Simple search
- Instant results
- Hassle-free shopping
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Scalable Vector Search
Easily and effortlessly manage and query vast datasets with high-performance, AI-driven outcomes
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Seamless Integration
Easily connect Weaviate to various data platforms and sources, ensuring smooth deployment and scalability
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15
Years In Business
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1000
Satisfied Clients
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4
Own Products
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95%
Client Retention Rate
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400+
Top-Notch Resources
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1500+
Successful Projects
Testimonials
A word from our clients on our excellence and competence
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Resources
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Explore analyses, industry updates, and expert advice to navigate the technology landscape
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Got Weaviate questions? We've got answers!
Explore our comprehensive FAQ section of Weaviate
Weaviate provides advanced vector search capabilities, flexible schema-less data management, and support for both unstructured and structured data, allowing businesses to build scalable, AI-driven applications.
Our Weaviate’s vector search uses machine learning to create semantic embeddings, allowing it to understand context and meaning beyond exact keyword matches. It enables more relevant and accurate search results, especially for nuanced or complex queries.
Hybrid search enhances accuracy by including semantic relevances from vector embeddings and exact keyword matches, making sure that businesses can retrieve the most relevant data for users’ queries without sacrificing the work precision.
Yes, our expert team works with the Weaviate platform to handle large and updated datasets, making it an excellent solution for monitoring, data-driven decision-making, and real-time analytics.
Businesses in media, healthcare, research, enterprise data management, etc., can benefit from knowledge graphs by organizing complex, unstructured data into clear, better relationships for better insights and analytics.
Yes, Weaviate allows you to integrate custom machine learning models to create domain-specific embeddings tailored to your particular dataset and use case, ensuring optimal performance for your unique data.
Our schema-less data management means Weaviate allows you to store and query data without needing a predefined schema. This flexibility enables businesses to adjust the major data structures dynamically as new data types emerge without reconfigurations.
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