𝐇𝐨𝐰 𝐭𝐨 🚀 𝐡𝐲𝐩𝐞𝐫𝐜𝐡𝐚𝐫𝐠𝐞 𝐆𝐞𝐧𝐀𝐈 🚀 𝐰𝐢𝐭𝐡 𝐚 𝐯𝐞𝐜𝐭𝐨𝐫 𝐝𝐚𝐭𝐚𝐛𝐚𝐬𝐞 ▶️ Press play and discover it!!! #Shapelets #ShapeletsVectorDB #ShapeletsDataApps #ShapeletsInsights #ShapeletsDataAccess #ArtificialIntelligence #ContentGeneration #VectorDatabases #AI #RAG #LLM #LargeLanguageModel #RetrievalAugmentedGeneration #AIInnovations #MachineLearning #DigitalTransformation #GenAI #DataScience #Technology #InformationRetrieva #LanguageModels #TechNewsletter #Context
Shapelets
Software Development
Madrid, Madrid 1,037 followers
High-performance technology for Data Science
About us
Shapelets is a comprehensive suite of data tools designed to optimize and accelerate the management and analysis of business data. Its focus is to improve efficiency in data acquisition, storage, and processing, providing advanced visual analytics to enhance predictive artificial intelligence applications and large-scale data analysis. Efficient Data Management: Optimizes data acquisition, storage, and analysis, reducing infrastructure requirements and operational costs. Open and Modular Platform: Includes interfaces, formats, and data management libraries that facilitate the rapid integration of multiple data sources. Real-Time Vector Database: Designed to operate efficiently at scale with real-time indexing capabilities, essential for applications that require fast searches and high-dimensional vector data processing. Agile Data Visualization: Allows data professionals to create and publish interactive applications directly from their Python environment, supporting libraries such as Matplotlib, Altair, Seaborn, Folium, and Plotly.
- Website
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https://shapelets.io
External link for Shapelets
- Industry
- Software Development
- Company size
- 11-50 employees
- Headquarters
- Madrid, Madrid
- Type
- Privately Held
- Founded
- 2018
- Specialties
- Data analytics, Big data, Algorithms, Data Scientist, Data App, Data Visualizacion, Machine Learning, Artificial Intelligence, Software, Time-series analytics, GPU, Multicore, Distributed Systems, Vector Database, AI, GenAI, Artificial intelligence, Indexing, and Interactive Visualization
Locations
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Primary
Paseo de la Castellana 91, 4º - 1
Madrid, Madrid 28046, ES
Employees at Shapelets
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Miguel Angel Bermeo-Ayerbe, PhD
PhD in Data Analytics and Machine Learning | Senior software engineer | Automatic control | Robotics | Artificial intelligence | Electronic engineer
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Daniel Ramirez Martin
Senior Software Engineer at Shapelets
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Aarón Muñano Fajardo
Diseñador UX&UI
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José Jaén Delgado
Data Scientist @ Shapelets
Updates
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𝐖𝐞𝐚𝐯𝐢𝐚𝐭𝐞 𝐯𝐬 𝐒𝐡𝐚𝐩𝐞𝐥𝐞𝐭𝐬 𝐕𝐞𝐜𝐭𝐨𝐫𝐃𝐁 📈🆚📉 Head-to-Head Performance Comparison Recently, we analyzed two standout options: Weaviate and Shapelets VectorDB, evaluating their performance in similarity searches and recommendation systems. The results show key differences in efficiency and precision that could influence your technological decision. Weaviate is an open-source vector database designed to store, search, and manage high-dimensional vector data, commonly used in industries like enterprise search, e-commerce, media... 🔗𝙍𝙚𝙖𝙙 𝙩𝙝𝙚 𝙛𝙪𝙡𝙡 𝙖𝙧𝙩𝙞𝙘𝙡𝙚 𝙝𝙚𝙧𝙚 𝙖𝙣𝙙 𝙙𝙞𝙨𝙘𝙤𝙫𝙚𝙧 𝙖𝙡𝙡 𝙩𝙝𝙚 𝙙𝙚𝙩𝙖𝙞𝙡𝙨 𝙤𝙛 𝙤𝙪𝙧 𝙗𝙚𝙣𝙘𝙝𝙢𝙖𝙧𝙠. https://lnkd.in/d3nFif4X #Shapelets #ShapeletsVectorDB #ShapeletsDataApps #ShapeletsCore #ShapeletsDataAccsess #BenchmarkVectorDatabase #ArtificialIntelligence #ContentGeneration #VectorDatabases #AI #RAG #LLM #LargeLanguageModel #RetrievalAugmentedGeneration #AIInnovations #MachineLearning #DigitalTransformation #GenAI #DataScience #Technology #InformationRetrieva #LanguageModels #TechNewsletter #Context
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🚕 🗽 𝐄𝐱𝐩𝐞𝐫𝐢𝐞𝐧𝐜𝐞 𝐭𝐡𝐞 𝐩𝐨𝐰𝐞𝐫 𝐚𝐧𝐝 𝐬𝐩𝐞𝐞𝐝 𝐨𝐟 𝐒𝐡𝐚𝐩𝐞𝐥𝐞𝐭𝐬 𝐃𝐚𝐭𝐚𝐀𝐩𝐩𝐬 ⚡Have you ever wanted to work with massive datasets interactively? Imagine exploring 𝟓𝟎 𝐌𝐈𝐋𝐋𝐈𝐎𝐍 𝐭𝐚𝐱𝐢 𝐫𝐢𝐝𝐞𝐬 with impressive fluidity. At Shapelets, we make it possible. Thanks to 𝐌𝐨𝐬𝐚𝐢𝐜, an interactive visualization framework we’ve ported to Python from the UW Interactive Data Lab, you can: 🔸 Easily connect datasets. 🔸 Create impactful visualizations. 🔸Host data apps. 🔸Organize dashboards tailored to your needs. All with just a few clicks! 🚀 𝐓𝐚𝐤𝐞 𝐲𝐨𝐮𝐫 𝐝𝐚𝐭𝐚 𝐯𝐢𝐬𝐮𝐚𝐥𝐢𝐳𝐚𝐭𝐢𝐨𝐧𝐬 𝐭𝐨 𝐭𝐡𝐞 𝐧𝐞𝐱𝐭 𝐥𝐞𝐯𝐞𝐥 𝐰𝐢𝐭𝐡 𝐒𝐡𝐚𝐩𝐞𝐥𝐞𝐭𝐬 𝐃𝐚𝐭𝐚𝐀𝐩𝐩𝐬 𝐚𝐧𝐝 𝐌𝐨𝐬𝐚𝐢𝐜. 𝐁𝐢𝐠 𝐬𝐜𝐚𝐥𝐞, 𝐧𝐨𝐰 𝐚𝐭 𝐲𝐨𝐮𝐫 𝐟𝐢𝐧𝐠𝐞𝐫𝐭𝐢𝐩𝐬. #InteractiveVisualizations #DatasetOfMillionsOfPoints #Shapelets #ShapeletsVectorDB #ShapeletsDataApps #Mosaic #ShapeletsInsights #ShapeletsDataAccess #ArtificialIntelligence #ContentGeneration #VectorDatabases #AI #RAG #LLM #LargeLanguageModel #RetrievalAugmentedGeneration #AIInnovations #MachineLearning #DigitalTransformation #GenAI #DataScience #Technology #InformationRetrieval #LanguageModels #TechNewsletter #Context #Databases #ReduceCostsVectorDatabases
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⚡🤑 𝐔𝐧𝐥𝐨𝐜𝐤 𝐜𝐨𝐬𝐭 𝐞𝐟𝐟𝐢𝐜𝐢𝐞𝐧𝐜𝐲 𝐢𝐧 𝐲𝐨𝐮𝐫 𝐕𝐞𝐜𝐭𝐨𝐫 𝐃𝐚𝐭𝐚𝐛𝐚𝐬𝐞𝐬 𝐰𝐢𝐭𝐡 𝐒𝐡𝐚𝐩𝐞𝐥𝐞𝐭𝐬 𝐕𝐞𝐜𝐭𝐨𝐫𝐃𝐁 ✅ Optimizing your databases Maximize your database performance while cutting unnecessary costs. Imagine a solution that helps you not only store data but also manage it in the most efficient way possible. 𝐎𝐮𝐫 𝐧𝐞𝐰 𝐚𝐫𝐭𝐢𝐜𝐥𝐞 𝐝𝐢𝐯𝐞𝐬 𝐢𝐧𝐭𝐨 𝐭𝐡𝐞 𝐩𝐫𝐚𝐜𝐭𝐢𝐜𝐚𝐥 𝐰𝐚𝐲𝐬 𝐭𝐨 𝐫𝐞𝐝𝐮𝐜𝐞 𝐝𝐚𝐭𝐚𝐛𝐚𝐬𝐞 𝐞𝐱𝐩𝐞𝐧𝐬𝐞𝐬 𝐰𝐢𝐭𝐡𝐨𝐮𝐭 𝐬𝐚𝐜𝐫𝐢𝐟𝐢𝐜𝐢𝐧𝐠 𝐩𝐞𝐫𝐟𝐨𝐫𝐦𝐚𝐧𝐜𝐞. Learn about bitmap compression and how Shapelets VectorDB is leading the way with innovative technologies that enhance computational efficiency and resource management. Don't let rising data demands impact your budget. See how you can transform your vector database strategy with smarter cost-saving approaches. Ready to make your databases work smarter for less? 🔗𝐃𝐢𝐬𝐜𝐨𝐯𝐞𝐫 𝐦𝐨𝐫𝐞 𝐛𝐲 𝐫𝐞𝐚𝐝𝐢𝐧𝐠 𝐭𝐡𝐞 𝐟𝐮𝐥𝐥 𝐚𝐫𝐭𝐢𝐜𝐥𝐞.👇 https://lnkd.in/dxFdX8u4 #Shapelets #ShapeletsVectorDB #ShapeletsDataApps #ShapeletsInsights #ShapeletsDataAccess #ArtificialIntelligence #ContentGeneration #VectorDatabases #AI #RAG #LLM #LargeLanguageModel #RetrievalAugmentedGeneration #AIInnovations #MachineLearning #DigitalTransformation #GenAI #DataScience #Technology #InformationRetrieval #LanguageModels #TechNewsletter #Context #Databases #ReduceCostsVectorDatabases
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𝐃𝐢𝐬𝐜𝐨𝐯𝐞𝐫 𝐭𝐡𝐞 s𝐞𝐜𝐫𝐞𝐭 𝐭𝐨 b𝐥𝐚𝐳𝐢𝐧𝐠-f𝐚𝐬𝐭 𝐃𝐚𝐭𝐚𝐛𝐚𝐬𝐞𝐬 ⚡ Boost Database Performance with Cutting-Edge Indexing Techniques ⚡ Imagine unlocking the full potential of your databases—retrieving data faster, reducing latency, and outpacing your competition. In our latest article, we reveal how optimal indexing strategies can drastically improve your database's performance. 🚀𝐋𝐞𝐚𝐫𝐧 𝐰𝐡𝐲 𝐒𝐡𝐚𝐩𝐞𝐥𝐞𝐭𝐬 𝐕𝐞𝐜𝐭𝐨𝐫𝐃𝐁 𝐢𝐬 𝐚𝐭 𝐭𝐡𝐞 𝐟𝐨𝐫𝐞𝐟𝐫𝐨𝐧𝐭 𝐨𝐟 𝐢𝐧𝐧𝐨𝐯𝐚𝐭𝐢𝐨𝐧, 𝐥𝐞𝐯𝐞𝐫𝐚𝐠𝐢𝐧𝐠 𝐮𝐧𝐢𝐪𝐮𝐞 𝐢𝐧𝐝𝐞𝐱𝐢𝐧𝐠 𝐭𝐞𝐜𝐡𝐧𝐢𝐪𝐮𝐞𝐬 𝐭𝐨 𝐝𝐞𝐥𝐢𝐯𝐞𝐫 𝐮𝐧𝐦𝐚𝐭𝐜𝐡𝐞𝐝 𝐬𝐩𝐞𝐞𝐝 𝐚𝐧𝐝 𝐞𝐟𝐟𝐢𝐜𝐢𝐞𝐧𝐜𝐲. Curious to find out how your data strategy can benefit from these advancements? Discover the key to transforming your database capabilities today. 🔗𝙍𝙚𝙖𝙙 𝙩𝙝𝙚 𝙛𝙪𝙡𝙡 𝙖𝙧𝙩𝙞𝙘𝙡𝙚 𝙝𝙚𝙧𝙚 𝙖𝙣𝙙 𝙙𝙞𝙨𝙘𝙤𝙫𝙚𝙧 𝙖𝙡𝙡 𝙩𝙝𝙚 𝙙𝙚𝙩𝙖𝙞𝙡𝙨: https://lnkd.in/dKNkDK9c #Shapelets #ShapeletsVectorDB #ShapeletsDataApps #ShapeletsInsights #ShapeletsDataAccess #ArtificialIntelligence #ContentGeneration #VectorDatabases #AI #RAG #LLM #LargeLanguageModel #RetrievalAugmentedGeneration #AIInnovations #MachineLearning #DigitalTransformation #GenAI #DataScience #Technology #InformationRetrieva #LanguageModels #TechNewsletter #Context
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𝐐𝐝𝐫𝐚𝐧𝐭 𝐨𝐫 𝐒𝐡𝐚𝐩𝐞𝐥𝐞𝐭𝐬 𝐕𝐞𝐜𝐭𝐨𝐫𝐃𝐁? 📈🆚📉Discover Which Vector Database Leads in Performance Recently, we analyzed two standout options: Qdrant and Shapelets VectorDB, evaluating their performance in similarity searches and recommendation systems. The results show key differences in efficiency and precision that could influence your technological decision. Qdrant is an open-source vector database designed for storing, searching, and managing high-dimensional vector data, commonly applied in mac... 🔗𝙍𝙚𝙖𝙙 𝙩𝙝𝙚 𝙛𝙪𝙡𝙡 𝙖𝙧𝙩𝙞𝙘𝙡𝙚 𝙝𝙚𝙧𝙚 𝙖𝙣𝙙 𝙙𝙞𝙨𝙘𝙤𝙫𝙚𝙧 𝙖𝙡𝙡 𝙩𝙝𝙚 𝙙𝙚𝙩𝙖𝙞𝙡𝙨 𝙤𝙛 𝙤𝙪𝙧 𝙗𝙚𝙣𝙘𝙝𝙢𝙖𝙧𝙠. https://lnkd.in/dksrBuQ4 #Shapelets #ShapeletsVectorDB #ShapeletsDataApps #ShapeletsCore #ShapeletsDataAccsess #BenchmarkVectorDatabase #ArtificialIntelligence #ContentGeneration #VectorDatabases #AI #RAG #LLM #LargeLanguageModel #RetrievalAugmentedGeneration #AIInnovations #MachineLearning #DigitalTransformation #GenAI #DataScience #Technology #InformationRetrieva #LanguageModels #TechNewsletter #Context
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Shapelets reposted this
Check out our recent benchmark in which we compare the performance of Shapelets VectorDB against one of the most popular choices for open source vector DBs: Qdrant. #vectordb #performance #genai #embeddings
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🧠 𝐆𝐞𝐧𝐀𝐈 𝐚𝐧𝐝 𝐑𝐀𝐆: 𝐭𝐡𝐞 𝐧𝐞𝐰 𝐞𝐫𝐚 𝐨𝐟 𝐢𝐧𝐧𝐨𝐯𝐚𝐭𝐢𝐨𝐧 𝐢𝐧 𝐭𝐡𝐞 𝐛𝐮𝐬𝐢𝐧𝐞𝐬𝐬 𝐰𝐨𝐫𝐥𝐝 🚀 Curious about how combining generative AI with information retrieval systems is transforming the way we manage data and make decisions? Retrieval-Augmented Generation (RAG) merges advanced language models with vector databases to provide more accurate and up-to-date answers, surpassing the limitations of previous technologies. 🎥 𝐂𝐡𝐞𝐜𝐤 𝐨𝐮𝐭 𝐭𝐡𝐢𝐬 𝐯𝐢𝐝𝐞𝐨 𝐭𝐨 𝐥𝐞𝐚𝐫𝐧 𝐡𝐨𝐰 𝐑𝐀𝐆 𝐨𝐩𝐭𝐢𝐦𝐢𝐳𝐞𝐬 𝐝𝐚𝐭𝐚 𝐫𝐞𝐭𝐫𝐢𝐞𝐯𝐚𝐥 𝐚𝐧𝐝 𝐞𝐧𝐡𝐚𝐧𝐜𝐞𝐬 𝐝𝐞𝐜𝐢𝐬𝐢𝐨𝐧-𝐦𝐚𝐤𝐢𝐧𝐠 𝐢𝐧 𝐨𝐫𝐠𝐚𝐧𝐢𝐳𝐚𝐭𝐢𝐨𝐧𝐬. https://lnkd.in/dJ5sKh9R #Shapelets #ShapeletsVectorDB #ShapeletsDataApps #ShapeletsCore #ShapeletsDataAccsess #ArtificialIntelligence #ContentGeneration #VectorDatabases #AI #RAG #LLM #LargeLanguageModel #RetrievalAugmentedGeneration #AIInnovations #MachineLearning #DigitalTransformation #GenAI #DataScience #Technology #InformationRetrieval #LanguageModels #TechNewsletter #Context
What is RAG?
https://www.youtube.com/
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🧠 𝐆𝐞𝐧𝐀𝐈 𝐚𝐧𝐝 𝐑𝐀𝐆 𝐬𝐭𝐚𝐭𝐞-𝐨𝐟-𝐭𝐡𝐞-𝐚𝐫𝐭 In the current environment, the ability to generate precise and contextualized responses is essential for generative artificial intelligence (GenAI). In this context, RAG (Retrieval-Augmented Generation) systems have become a fundamental tool for improving the quality and relevance of the responses generated by language models. ⚡𝐑𝐀𝐆 & 𝐕𝐞𝐜𝐭𝐨𝐫 𝐃𝐚𝐭𝐚𝐛𝐚𝐬𝐞𝐬 Vector databases play a crucial role in RAG systems, as they allow transforming data into vectors that capture their semantic relationships. This enables more efficient and accurate information retrieval, thus optimizing the generation of relevant content by language models. Thanks to these databases, models can access updated data without the need for retraining, overcoming one of the major challenges of traditional models. 𝐈𝐟 𝐲𝐨𝐮 𝐰𝐚𝐧𝐭 𝐭𝐨 𝐮𝐧𝐝𝐞𝐫𝐬𝐭𝐚𝐧𝐝 𝐡𝐨𝐰 𝐑𝐀𝐆 𝐬𝐲𝐬𝐭𝐞𝐦𝐬 𝐚𝐧𝐝 𝐯𝐞𝐜𝐭𝐨𝐫 𝐝𝐚𝐭𝐚𝐛𝐚𝐬𝐞𝐬 𝐚𝐫𝐞 𝐭𝐫𝐚𝐧𝐬𝐟𝐨𝐫𝐦𝐢𝐧𝐠 𝐠𝐞𝐧𝐞𝐫𝐚𝐭𝐢𝐯𝐞 𝐚𝐫𝐭𝐢𝐟𝐢𝐜𝐢𝐚𝐥 𝐢𝐧𝐭𝐞𝐥𝐥𝐢𝐠𝐞𝐧𝐜𝐞, 𝐜𝐡𝐞𝐜𝐤 𝐨𝐮𝐭 𝐭𝐡𝐞 𝐟𝐮𝐥𝐥 𝐚𝐫𝐭𝐢𝐜𝐥𝐞. 𝐀𝐥𝐬𝐨, 𝐬𝐮𝐛𝐬𝐜𝐫𝐢𝐛𝐞 𝐭𝐨 𝐨𝐮𝐫 𝐧𝐞𝐰𝐬𝐥𝐞𝐭𝐭𝐞𝐫 𝐭𝐨 𝐬𝐭𝐚𝐲 𝐮𝐩-𝐭𝐨-𝐝𝐚𝐭𝐞 𝐰𝐢𝐭𝐡 𝐭𝐡𝐞 𝐥𝐚𝐭𝐞𝐬𝐭 𝐢𝐧𝐧𝐨𝐯𝐚𝐭𝐢𝐨𝐧𝐬 𝐢𝐧 𝐚𝐫𝐭𝐢𝐟𝐢𝐜𝐢𝐚𝐥 𝐢𝐧𝐭𝐞𝐥𝐥𝐢𝐠𝐞𝐧𝐜𝐞 𝐚𝐧𝐝 𝐭𝐞𝐜𝐡𝐧𝐨𝐥𝐨𝐠𝐲. 𝐃𝐨𝐧'𝐭 𝐦𝐢𝐬𝐬 𝐨𝐮𝐭! #Shapelets #ShapeletsVectorDB #ShapeletsDataApps #ShapeletsCore #ShapeletsDataAccsess #ArtificialIntelligence #ContentGeneration #VectorDatabases #AI #RAG #LLM #LargeLanguageModel #RetrievalAugmentedGeneration #AIInnovations #MachineLearning #DigitalTransformation #GenAI #DataScience #Technology #InformationRetrieval #LanguageModels #TechNewsletter #Context
🧠⭐What is RAG? (Retrieval-Augmented Generation?
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☄𝗩𝗲𝗰𝘁𝗼𝗿 𝗗𝗮𝘁𝗮𝗯𝗮𝘀𝗲𝘀: 𝗘𝘀𝘀𝗲𝗻𝘁𝗶𝗮𝗹 𝗳𝗼𝗿 𝗰𝗼𝗺𝗽𝗲𝘁𝗶𝗻𝗴 𝗶𝗻 𝗚𝗲𝗻𝗔𝗜 In an increasingly data-driven world, adopting a vector database is key to staying competitive in the 𝗚𝗲𝗻𝗔𝗜 era. Vector databases are essential for applications such as natural language processing, recommendation systems, and RAG (Retrieval Augmented Generation). At 𝗦𝗵𝗮𝗽𝗲𝗹𝗲𝘁𝘀, we have created 𝗦𝗵𝗮𝗽𝗲𝗹𝗲𝘁𝘀 𝗩𝗲𝗰𝘁𝗼𝗿𝗗𝗕, the fastest and most efficient vector database, outperforming others like 𝐂𝐡𝐫𝐨𝐦𝐚, 𝐌𝐢𝐥𝐯𝐮𝐬 𝐚𝐧𝐝 𝐏𝐢𝐧𝐞𝐜𝐨𝐧𝐞 Our approach, based on time series quantization, accelerates data indexing and retrieval, reducing memory usage without compromising accuracy. Additionally 𝗦𝗵𝗮𝗽𝗲𝗹𝗲𝘁𝘀 𝗩𝗲𝗰𝘁𝗼𝗿𝗗𝗕 handles both vector and scalar data, enabling comprehensive and efficient management of complex data. 👁 𝗦𝗲𝗲 𝗳𝘂𝗹𝗹 𝗽𝗼𝘀𝘁: 🔗https://lnkd.in/dAV_SB59 ⚡𝗪𝗮𝗻𝘁 𝘁𝗼 𝗱𝗶𝘀𝗰𝗼𝘃𝗲𝗿 𝗵𝗼𝘄 𝗦𝗵𝗮𝗽𝗲𝗹𝗲𝘁𝘀 𝗩𝗲𝗰𝘁𝗼𝗿𝗗𝗕 𝗰𝗮𝗻 𝘁𝗿𝗮𝗻𝘀𝗳𝗼𝗿𝗺 𝘆𝗼𝘂𝗿 𝗯𝘂𝘀𝗶𝗻𝗲𝘀𝘀 𝗮𝗻𝗱 𝗯𝗼𝗼𝘀𝘁 𝘆𝗼𝘂𝗿 𝗔𝗜 𝗮𝗽𝗽𝗹𝗶𝗰𝗮𝘁𝗶𝗼𝗻𝘀? 𝗙𝗶𝗻𝗱 𝗼𝘂𝘁 𝗮𝗹𝗹 𝘁𝗵𝗲 𝗱𝗲𝘁𝗮𝗶𝗹𝘀 𝗼𝗻 𝗵𝗼𝘄 𝗦𝗵𝗮𝗽𝗲𝗹𝗲𝘁𝘀𝗩𝗲𝗰𝗗𝗕 𝗰𝗮𝗻 𝗲𝗺𝗽𝗼𝘄𝗲𝗿 𝘆𝗼𝘂𝗿 𝗰𝗼𝗺𝗽𝗮𝗻𝘆 #Shapelets #ShapeletsVectorDB #VectorDataBase #VectorDatabases #GenAI #GenerativeAI #AI #MachineLearning #DataScience #SemanticSearch #BigData #SimilaritySearch #ContentRecommendation #TechInnovation #DataManagement #ArtificialIntelligence #MachineLearningTools #DataStorage #ScalableSolutions #AdvancedSearch #DataAnalytics #Indexing #Embeddings