☁️ Build multimodal AI applications with cloud-native stack
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Updated
Jun 13, 2024 - Python
☁️ Build multimodal AI applications with cloud-native stack
The data scientist's open-source choice to scale, assess and maintain natural language data. Treat training data like a software artifact.
MTEB: Massive Text Embedding Benchmark
👑 Easy-to-use and powerful NLP and LLM library with 🤗 Awesome model zoo, supporting wide-range of NLP tasks from research to industrial applications, including 🗂Text Classification, 🔍 Neural Search, ❓ Question Answering, ℹ️ Information Extraction, 📄 Document Intelligence, 💌 Sentiment Analysis etc.
💡 All-in-one open-source embeddings database for semantic search, LLM orchestration and language model workflows
Represent, send, store and search multimodal data
Neural Search
Neural Search
Official Python SDK for Kern AI refinery.
The prime repository for state-of-the-art Multilingual Question Answering research and development.
An Open-Source Package for Information Retrieval
🎯 Task-oriented embedding tuning for BERT, CLIP, etc.
A Python vector database you just need - no more, no less.
Tree-based indexes for neural-search
Load and serve Neural Encoder Models
🏄 Scalable embedding, reasoning, ranking for images and sentences with CLIP
A search app to look for relevant offers. User can search with Keyword based search and Semantic based search methods.
V3CTRON | Vector Embeddings Data Retrieval | ChatGPT Plugin
A Neural Search Tool that helps you find relevant papers to read based on your interests
🔮 Jina is an open-source framework for building neural search systems. It provides a flexible and efficient way to build search engines, recommendation systems, and other AI-powered applications that require real-time search and retrieval capabilities.
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