Explore the AI Technology Graph
Discover how AI technologies, models, frameworks and tools are connected.
Technology Categories
- Algorithms 30 technologies
- Models 16 technologies
- Embedding Models 8 technologies
- Techniques 35 technologies
- Prompting 10 technologies
- Frameworks 12 technologies
- LLM Frameworks 6 technologies
- Databases 3 technologies
- Vector Databases 8 technologies
- Search Engines 4 technologies
- Infrastructure 15 technologies
- MLOps 4 technologies
- Evaluation 6 technologies
- Hardware 11 technologies
- Safety & Alignment 6 technologies
- Applications 7 technologies
- Multimodal 5 technologies
- AI Agents 4 technologies
- Benchmarks 11 technologies
- Datasets 7 technologies
Popular technologies
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Transformer
architecture
Attention-based neural architecture that replaced recurrence with self-attention.
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RAG
technique
Retrieval-Augmented Generation: ground a model answer in documents fetched at query time.
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LLM
concept
Large language model: a Transformer trained on text at a scale that yields general capability.
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GPT
model
Family of decoder-only Transformer language models trained with a generative objective.
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Qdrant
database
Open-source vector database written in Rust, with payload filtering.
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LangChain
framework
Framework for composing language models with retrieval, tools and memory.
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Embedding
concept
Dense numeric vector representing the meaning of a piece of text.
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Attention
concept
Mechanism that weights each part of an input by its relevance to every other part.
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GPU
hardware
A processor built for massive parallelism, which is what neural network maths needs.
Explore the AI Stack
Follow the layers from models down to running applications.