#python #bert #embedding #ernie #information_extraction #neural_search #nlp #paddlenlp #pretrained_models #question_answering #search_engine #semantic_analysis #sentiment_analysis #seq2seq #transformer #transformers #uie
https://github.com/PaddlePaddle/PaddleNLP
https://github.com/PaddlePaddle/PaddleNLP
GitHub
GitHub - PaddlePaddle/PaddleNLP: Easy-to-use and powerful LLM and SLM library with awesome model zoo.
Easy-to-use and powerful LLM and SLM library with awesome model zoo. - PaddlePaddle/PaddleNLP
#python #computer_vision #convolutional_networks #embedding_vectors #embeddings #feature_extraction #feature_vector #image_processing #image_retrieval #machine_learning #milvus #pipeline #towhee #transformer #unstructured_data #video_processing #vision_transformer #vit
https://github.com/towhee-io/towhee
https://github.com/towhee-io/towhee
GitHub
GitHub - towhee-io/towhee: Towhee is a framework that is dedicated to making neural data processing pipelines simple and fast.
Towhee is a framework that is dedicated to making neural data processing pipelines simple and fast. - towhee-io/towhee
#go #anns #cloud_native #distributed #embedding_database #embedding_similarity #embedding_store #faiss #golang #hnsw #image_search #llm #nearest_neighbor_search #tensor_database #vector_database #vector_search #vector_similarity #vector_store
Milvus is an open-source vector database designed for embedding similarity search and AI applications. It makes unstructured data search more accessible and provides a consistent user experience across different deployment environments. Key features include millisecond search on trillion vector datasets, simplified unstructured data management, reliable and always-on operations, high scalability, and hybrid search capabilities. Milvus is cloud-native, supports multiple SDKs, and has a strong community with extensive documentation and support channels like Discord and mailing lists. Using Milvus benefits users by enabling fast and efficient vector searches, simplifying data management, and ensuring reliability and scalability in their applications.
https://github.com/milvus-io/milvus
Milvus is an open-source vector database designed for embedding similarity search and AI applications. It makes unstructured data search more accessible and provides a consistent user experience across different deployment environments. Key features include millisecond search on trillion vector datasets, simplified unstructured data management, reliable and always-on operations, high scalability, and hybrid search capabilities. Milvus is cloud-native, supports multiple SDKs, and has a strong community with extensive documentation and support channels like Discord and mailing lists. Using Milvus benefits users by enabling fast and efficient vector searches, simplifying data management, and ensuring reliability and scalability in their applications.
https://github.com/milvus-io/milvus
GitHub
GitHub - milvus-io/milvus: Milvus is a high-performance, cloud-native vector database built for scalable vector ANN search
Milvus is a high-performance, cloud-native vector database built for scalable vector ANN search - milvus-io/milvus
#typescript #embedding #mcp #telegram #telegram_bot
This tool helps you search through Telegram chat records using advanced technology like vector search and semantic matching. It uses OpenAI's semantic vector technology to make your searches smarter and more accurate. This means you can find messages more easily and quickly. It's beneficial because it saves time and helps you find important information in your chats. To use it, you need to install it on your computer by following some steps, and then you can access it through a local website.
https://github.com/groupultra/telegram-search
This tool helps you search through Telegram chat records using advanced technology like vector search and semantic matching. It uses OpenAI's semantic vector technology to make your searches smarter and more accurate. This means you can find messages more easily and quickly. It's beneficial because it saves time and helps you find important information in your chats. To use it, you need to install it on your computer by following some steps, and then you can access it through a local website.
https://github.com/groupultra/telegram-search
GitHub
GitHub - groupultra/telegram-search: 🔍 导出并模糊搜索 Telegram 聊天记录 | Export and fuzzy search your Telegram chat history
🔍 导出并模糊搜索 Telegram 聊天记录 | Export and fuzzy search your Telegram chat history - groupultra/telegram-search
#typescript #embedding #visualization
Embedding Atlas is a powerful tool that helps you easily visualize and explore large sets of data points called embeddings. It automatically groups and labels data, shows dense areas and outliers clearly, and lets you search for similar items in real time. It works fast even with millions of points using modern web technology and can be used in Python, Jupyter notebooks, or web apps. This means you can better understand complex data, find patterns, and make decisions faster without complicated setup or slow performance. It’s open source and privacy-friendly since your data stays on your device.
https://github.com/apple/embedding-atlas
Embedding Atlas is a powerful tool that helps you easily visualize and explore large sets of data points called embeddings. It automatically groups and labels data, shows dense areas and outliers clearly, and lets you search for similar items in real time. It works fast even with millions of points using modern web technology and can be used in Python, Jupyter notebooks, or web apps. This means you can better understand complex data, find patterns, and make decisions faster without complicated setup or slow performance. It’s open source and privacy-friendly since your data stays on your device.
https://github.com/apple/embedding-atlas
GitHub
GitHub - apple/embedding-atlas: Embedding Atlas is a tool that provides interactive visualizations for large embeddings. It allows…
Embedding Atlas is a tool that provides interactive visualizations for large embeddings. It allows you to visualize, cross-filter, and search embeddings and metadata. - apple/embedding-atlas
#python #agent #context_engineering #electron #embedding_models #memory #proactive_ai #python #python3 #rag #react #vector_database #vision_language_model
MineContext is a special AI tool that helps you work more efficiently. It collects information from your computer screen and other sources, then uses this data to give you useful insights, summaries, and reminders. This helps you stay organized and focused on important tasks. MineContext is also very private because it stores all your data on your local device, not in the cloud. It's like having a personal assistant that helps you manage your digital life better.
https://github.com/volcengine/MineContext
MineContext is a special AI tool that helps you work more efficiently. It collects information from your computer screen and other sources, then uses this data to give you useful insights, summaries, and reminders. This helps you stay organized and focused on important tasks. MineContext is also very private because it stores all your data on your local device, not in the cloud. It's like having a personal assistant that helps you manage your digital life better.
https://github.com/volcengine/MineContext
GitHub
GitHub - volcengine/MineContext: MineContext is your proactive context-aware AI partner(Context-Engineering+ChatGPT Pulse)
MineContext is your proactive context-aware AI partner(Context-Engineering+ChatGPT Pulse) - volcengine/MineContext