Production ready AI assistant framework
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Updated
Jun 1, 2024 - Python
Production ready AI assistant framework
Qdrant - High-performance, massive-scale Vector Database for the next generation of AI. Also available in the cloud https://cloud.qdrant.io/
Build LLM-powered applications in Ruby
Neural Search
A cloud-native vector database, storage for next generation AI applications
Search anything, instantly
🔮 SuperDuperDB: Bring AI to your database! Build, deploy and manage any AI application directly with your existing data infrastructure, without moving your data. Including streaming inference, scalable model training and vector search.
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.
The AI-native database built for LLM applications, providing incredibly fast full-text and vector search
AI + Data, online. https://vespa.ai
Fast Open-Source Search & Clustering engine × for Vectors & 🔜 Strings × in C++, C, Python, JavaScript, Rust, Java, Objective-C, Swift, C#, GoLang, and Wolfram 🔍
cuVS - a library for vector search and clustering on the GPU
All-in-one infrastructure for building search, recommendations, and RAG. Trieve combines search language models with tools for tuning ranking and relevance.
OSINT Platform - Provides image analysis, digital footprints, video transcription and more. Retrieval Augmented Generation (RAG) capable platform
The open-source tool for building high-quality datasets and computer vision models
RAFT contains fundamental widely-used algorithms and primitives for machine learning and information retrieval. The algorithms are CUDA-accelerated and form building blocks for more easily writing high performance applications.
A minimalistic vector database that can be used to search for similar vectors in logarithmic time.
Fast, Accurate, Lightweight Python library to make State of the Art Embedding
Website for the Weaviate vector database
💡 All-in-one open-source embeddings database for semantic search, LLM orchestration and language model workflows
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