AI glossary for content assistants
Plain-English definitions of 13,917 AI terms for branded assistant teams.
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13,917 terms. Open one for definitions and related concepts.
Anthropic SDK
The Anthropic SDK is the official client library for interacting with Claude models, providing typed interfaces for messages, tool use, and extended thinking.
Open Interpreter
Open Interpreter is an open-source tool that lets LLMs run code locally on your computer, providing a natural language interface for programming tasks and system operations.
llamafile
llamafile is a tool that packages LLMs into single executable files that run on any operating system without installation, simplifying local AI distribution.
LanceDB
LanceDB is a serverless vector database built on the Lance columnar format, providing embedded vector search with no server management required.
Marqo
Marqo is a tensor search engine that generates embeddings and performs vector search in one system, simplifying the pipeline from raw content to search results.
DSPy Assertions
DSPy Assertions are runtime constraints in the DSPy framework that enforce LLM output requirements, automatically retrying with feedback when assertions fail.
Mistral SDK
The Mistral SDK is the official client library for Mistral AI's models, providing access to chat completions, embeddings, function calling, and JSON mode through typed APIs.
Google GenAI SDK
The Google GenAI SDK is the official client library for Google's Gemini AI models, providing access to multimodal generation, grounding, and code execution capabilities.
BentoCloud
BentoCloud is a managed platform by BentoML for deploying and scaling AI models and applications, providing serverless GPU inference with automatic scaling.
PromptFlow
PromptFlow is a Microsoft tool for building, testing, and deploying LLM application workflows with a visual DAG editor and integration with Azure AI.
MLX Framework
MLX is Apple's open-source array computation framework optimized for Apple Silicon, enabling fast machine learning training and inference on Mac devices.
PyTorch Geometric
PyTorch Geometric (PyG) is the leading library for graph neural networks, providing efficient implementations of GNN layers, graph data handling, and benchmark datasets.
Transformers.js
Transformers.js is Hugging Face's JavaScript library that runs Hugging Face Transformer models directly in the browser or Node.js without a Python backend.
NVIDIA NeMo
NVIDIA NeMo is a scalable framework for building, customizing, and deploying large language models and speech AI, with optimized training on NVIDIA GPU clusters.
PydanticAI
PydanticAI is a Python framework for building production-grade AI agents using Pydantic's type validation, with structured outputs, dependency injection, and multi-model support.
Mem0
Mem0 is an open-source memory layer for AI applications that enables LLMs to remember user preferences, past interactions, and context across sessions.
DeepEval
DeepEval is an open-source LLM evaluation framework for testing RAG pipelines and AI applications, with metrics for hallucination, relevance, faithfulness, and more.
AgentOps
AgentOps is an observability and debugging platform for AI agents, providing session recording, cost tracking, LLM call tracing, and error detection for multi-step agent workflows.
SHAP
SHAP (SHapley Additive exPlanations) is a game theory-based framework for explaining ML model predictions by quantifying each feature's contribution to individual outputs.
LIME
LIME (Local Interpretable Model-Agnostic Explanations) explains any ML model's individual predictions by fitting an interpretable local linear model around specific input samples.
pgvector
pgvector is a PostgreSQL extension that adds vector similarity search capabilities, enabling RAG and semantic search using the database you already have.
AI Gateway
An AI gateway is a middleware layer that routes, caches, rate-limits, and observes LLM API calls across multiple providers, providing unified access, cost control, and reliability.
Model Merging
Model merging combines multiple fine-tuned LLM checkpoints into a single model by averaging or interpolating weights, creating models with combined capabilities without additional training.
AutoML Frameworks
AutoML frameworks automate machine learning pipeline design — feature engineering, model selection, hyperparameter optimization, and ensembling — to achieve high accuracy with minimal manual effort.
LangChain Expression Language
LangChain Expression Language (LCEL) is a declarative syntax for composing LangChain components into chains using the pipe operator, with built-in streaming, async, and batch support.
LLM Router
An LLM router dynamically selects the most appropriate language model for each query based on complexity, cost, latency, or capability requirements, optimizing the tradeoff between quality and cost.
ExLlamaV2
ExLlamaV2 is a fast inference library for quantized LLMs on NVIDIA GPUs, achieving state-of-the-art throughput for GPTQ and EXL2 quantized models.
Portkey
Portkey is an AI gateway and observability platform providing unified LLM API access, prompt management, guardrails, caching, and detailed cost analytics for production AI applications.
Composio
Composio is a tool integration platform for AI agents, providing 250+ pre-built tool integrations (GitHub, Slack, Notion, Gmail) with authentication management for agent workflows.
Continual Learning
Continual learning (lifelong learning) enables machine learning models to learn from a sequence of tasks over time without catastrophically forgetting previously learned knowledge.
Function Calling
Function calling (tool use) enables LLMs to generate structured JSON output to invoke developer-defined functions, allowing AI models to interact with external systems and APIs reliably.
Hugging Face Hub
Hugging Face Hub is the largest public repository of ML models, datasets, and demo spaces, providing version control, model cards, and APIs for sharing and deploying AI.
Predibase
Predibase is a fine-tuning and inference platform for open-source LLMs, enabling teams to fine-tune Llama and other models on their data and serve them with LoRA adapters at scale.
RAG Fusion
RAG-Fusion improves retrieval quality by generating multiple query variations, retrieving documents for each, and combining results using Reciprocal Rank Fusion to surface the most consistently relevant content.
Medical AI
Medical AI applies artificial intelligence to clinical medicine, including diagnosis, treatment recommendations, surgical assistance, and patient monitoring.
Clinical Decision Support
Clinical decision support systems (CDSS) use AI to provide clinicians with evidence-based recommendations, alerts, and insights at the point of care.
Diagnostic AI
Diagnostic AI uses machine learning to analyze medical data and assist in identifying diseases, conditions, and abnormalities with high accuracy.
Radiology AI
Radiology AI uses deep learning to analyze medical images like X-rays, CT scans, and MRIs to detect abnormalities and assist radiologists.
Drug Discovery
AI-driven drug discovery uses machine learning to accelerate the identification, design, and optimization of new pharmaceutical compounds.
Medical Imaging
AI-powered medical imaging uses deep learning to analyze radiological images for automated detection, segmentation, and classification of medical conditions.
Electronic Health Records
Electronic Health Records (EHR) are digital versions of patient medical histories that AI can analyze for clinical insights, predictions, and workflow automation.
Medical Transcription
AI medical transcription automatically converts clinical conversations and dictations into structured medical documentation using speech recognition and NLP.
Telemedicine
Telemedicine uses AI-enhanced digital communication technologies to provide remote healthcare services including diagnosis, consultation, and monitoring.
Mental Health AI
Mental health AI uses natural language processing and machine learning to provide therapeutic support, mood tracking, and mental health screening.
Symptom Checker
An AI symptom checker analyzes user-reported symptoms to suggest possible conditions and recommend appropriate levels of medical care.
Algorithmic Trading
Algorithmic trading uses AI and mathematical models to execute financial trades automatically based on predefined rules and real-time market analysis.
Credit Scoring
AI credit scoring uses machine learning to assess borrower creditworthiness by analyzing traditional financial data and alternative data sources.
Risk Assessment
AI risk assessment uses machine learning to evaluate and quantify financial, operational, or security risks by analyzing complex data patterns.
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Can the agent hand off to a human?
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Do you provide analytics?
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Is it mobile friendly?
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What's the fastest path to a successful deployment?
Start with one assistant and a small set of high-value sources. Iterate using real questions from analytics.
What is the fastest way to get started?
Create an account. Connect one key source. Ask a test question, brand the assistant, then publish it on one page.