Qdrant - High-performance, massive-scale Vector Database for the next generation of AI. Also available in the cloud https://cloud.qdrant.io/
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Updated
May 20, 2024 - Rust
Qdrant - High-performance, massive-scale Vector Database for the next generation of AI. Also available in the cloud https://cloud.qdrant.io/
💡 All-in-one open-source embeddings database for semantic search, LLM orchestration and language model workflows
Epsilla is a high performance Vector Database Management System. Try out hosted Epsilla at https://cloud.epsilla.com/
Weaviate is an open-source vector database that stores both objects and vectors, allowing for the combination of vector search with structured filtering with the fault tolerance and scalability of a cloud-native database.
MTEB: Massive Text Embedding Benchmark
UI widget for adding semantic search to your React UI in just a few lines of code
PostgreSQL vector database extension for building AI applications
👑 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.
Official Weaviate TypeScript Client
Elasticsearch plugin for nearest neighbor search. Store vectors and run similarity search using exact and approximate algorithms.
OpenSearch Neural Search example. Load BERT to OpenSearch and create embeddings as data is indexed. Use the embedding to preform vector search
☁️ Build multimodal AI applications with cloud-native stack
Official Python SDK for Kern AI refinery.
The prime repository for state-of-the-art Multilingual Question Answering research and development.
Represent, send, store and search multimodal data
Neural Search
An Open-Source Package for Information Retrieval
The data scientist's open-source choice to scale, assess and maintain natural language data. Treat training data like a software artifact.
Neural Search
An easy to use Neural Search Engine. Index latent vectors along with JSON metadata and do efficient k-NN search.
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