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.
Seldon Core
Seldon Core is an open-source platform for deploying ML models on Kubernetes, providing serving, monitoring, and advanced inference capabilities.
Kedro
Kedro is an open-source Python framework for creating reproducible, maintainable, and modular data science code using software engineering best practices.
Flyte
Flyte is an open-source workflow orchestration platform designed for ML and data pipelines, providing type-safe, reproducible, and scalable workflow execution.
Arize AI
Arize AI is an ML observability platform for monitoring model performance in production, detecting data drift, and troubleshooting model degradation.
WhyLabs
WhyLabs is an AI observability platform built on the open-source whylogs library for profiling and monitoring data and ML model quality in production.
Mastra
Mastra is a TypeScript framework for building AI applications and agents with built-in support for tool calling, RAG, workflows, and integrations with third-party services.
Triton Inference Server
Triton Inference Server is NVIDIA's open-source serving platform that deploys models from any framework with dynamic batching, model ensembles, and multi-GPU support.
Text Generation Inference
Text Generation Inference (TGI) is Hugging Face's production-ready serving solution for LLMs, featuring continuous batching, tensor parallelism, and optimized inference.
DeepSpeed
DeepSpeed is a deep learning optimization library by Microsoft that enables training of extremely large models through memory-efficient techniques and distributed computing.
Megatron-LM
Megatron-LM is NVIDIA's framework for training large transformer models using efficient model and pipeline parallelism across GPU clusters.
Unsloth
Unsloth is a library that makes fine-tuning large language models significantly faster and more memory-efficient through custom CUDA kernels and optimization techniques.
PEFT
PEFT (Parameter-Efficient Fine-Tuning) is a Hugging Face library implementing techniques like LoRA and adapters that fine-tune large models by updating only a small subset of parameters.
TRL
TRL (Transformer Reinforcement Learning) is a Hugging Face library for training language models with reinforcement learning from human feedback (RLHF), DPO, and supervised fine-tuning.
Axolotl
Axolotl is a tool for streamlining LLM fine-tuning with support for multiple model architectures, training techniques, and dataset formats through simple YAML configuration.
LMQL
LMQL is a query language for large language models that combines natural language prompts with Python logic and output constraints for structured LLM interactions.
Guidance
Guidance is a programming library by Microsoft for controlling LLM output through interleaved generation and logic, enabling structured and constrained text generation.
Embedchain
Embedchain (now mem0) is a framework for building RAG applications that automatically handles chunking, embedding, storage, and retrieval from diverse data sources.
ChromaDB
ChromaDB is an open-source embedding database designed for AI applications, providing simple APIs for storing, searching, and filtering vector embeddings.
FAISS
FAISS (Facebook AI Similarity Search) is a library for efficient similarity search and clustering of dense vectors, optimized for billion-scale vector operations.
W&B Weave
W&B Weave is a toolkit from Weights & Biases for building, evaluating, and monitoring LLM applications with tracing, evaluation, and production monitoring.
Phoenix
Phoenix is an open-source observability tool by Arize for tracing, evaluating, and debugging LLM applications with support for OpenTelemetry-based instrumentation.
RAGAS
RAGAS is a framework for evaluating retrieval-augmented generation pipelines, providing metrics for faithfulness, answer relevancy, context precision, and context recall.
LiteLLM
LiteLLM is a lightweight Python library that provides a unified interface for calling 100+ LLM APIs using the OpenAI format, simplifying multi-provider integration.
Haystack Pipelines
Haystack Pipelines is the core abstraction of the Haystack framework, providing a directed graph system for building composable NLP and LLM application workflows.
safetensors
safetensors is a file format by Hugging Face for securely storing and loading model tensors, providing fast loading and protection against code execution vulnerabilities.
GGUF
GGUF (GPT-Generated Unified Format) is a binary file format for storing quantized language models, designed for efficient loading and inference with llama.cpp.
OpenRouter
OpenRouter is a unified API gateway that provides access to hundreds of AI models from multiple providers through a single OpenAI-compatible endpoint.
Modal
Modal is a serverless cloud platform for running AI workloads, providing on-demand GPU access, container orchestration, and Python-first infrastructure as code.
W&B Artifacts
W&B Artifacts is a versioned data and model management system within Weights & Biases for tracking datasets, models, and other ML pipeline outputs.
Label Studio
Label Studio is an open-source data labeling platform supporting text, image, audio, video, and multi-modal annotation for machine learning projects.
Prodigy
Prodigy is a commercial annotation tool by Explosion (creators of spaCy) designed for efficient data labeling with active learning and a streamlined annotation workflow.
Prefect
Prefect is a modern workflow orchestration framework for Python that provides dynamic, code-first pipeline definition with automatic retries, caching, and observability.
Dagster
Dagster is a data orchestration framework that organizes pipelines around data assets rather than tasks, providing a data-aware approach to workflow management.
Hugging Face Datasets
Hugging Face Datasets is a library for accessing, processing, and sharing ML datasets with efficient memory-mapped loading and built-in data processing tools.
Hugging Face Tokenizers
Hugging Face Tokenizers is a fast tokenization library implemented in Rust, providing implementations of popular tokenization algorithms used by modern language models.
Accelerate
Accelerate is a Hugging Face library that enables PyTorch code to run on any distributed configuration with minimal code changes for multi-GPU and multi-node training.
whisper.cpp
whisper.cpp is a C/C++ port of OpenAI's Whisper speech recognition model, enabling efficient local audio transcription on CPUs and consumer hardware.
Stable Diffusion WebUI
Stable Diffusion WebUI (by AUTOMATIC1111) is a browser-based interface for Stable Diffusion with extensive features for image generation, inpainting, and model management.
ComfyUI
ComfyUI is a node-based visual interface for AI image generation that provides flexible workflow creation through connecting modular processing nodes.
Diffusers
Diffusers is a Hugging Face library for state-of-the-art diffusion models, providing pretrained pipelines for image, audio, and 3D generation tasks.
CrewAI Tools
CrewAI Tools is a collection of pre-built tools for CrewAI agents, providing web search, file operations, code execution, and API integration capabilities.
smolagents
smolagents is a lightweight Hugging Face library for building AI agents that can use tools, write code, and orchestrate multi-step reasoning with minimal complexity.
AutoGen Studio
AutoGen Studio is a visual interface for building, testing, and deploying multi-agent AI workflows using Microsoft's AutoGen framework without writing code.
Milvus
Milvus is an open-source vector database designed for scalable similarity search, supporting billions of vectors with high-performance indexing and hybrid search.
Qdrant
Qdrant is a vector similarity search engine written in Rust, providing fast and scalable vector search with advanced filtering and payload management.
LangServe
LangServe is a library by LangChain for deploying LangChain chains and agents as REST APIs with automatic documentation, streaming support, and playground UI.
LangGraph Platform
LangGraph Platform is LangChain's infrastructure for deploying, managing, and scaling stateful AI agent applications built with LangGraph.
OpenAI SDK
The OpenAI SDK is the official client library for interacting with OpenAI APIs, providing typed interfaces for chat completions, embeddings, assistants, and other AI capabilities.
Turn owned content into answers
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InsertChat
Interactive FAQ
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Product FAQ
What is InsertChat?
InsertChat is a white-label AI assistant for your website. Train it, brand it, publish it, and learn from visitor questions.
How does InsertChat use my website content?
Connect approved pages, docs, videos, FAQs, policies, and other sources. InsertChat turns them into source-backed answers and next steps.
Can I control the assistant's tone and sources?
Yes. Choose its sources, tone, welcome message, and prompts so it stays on brand.
How does InsertChat stay accurate?
Answers use approved content and source links. Analytics show unclear or missing answers so you can improve coverage.
Can it collect leads or route support questions?
Yes. InsertChat can collect details, qualify intent, add context, and send chats to the right inbox, CRM, workflow, or person.
Can I control how the assistant behaves?
Yes. Control prompts, model choice, tool access, and the branded assistant experience so behavior stays consistent.
Which AI models can I use?
InsertChat supports multiple model providers. Choose each assistant's model for quality, speed, and cost, or use BYOK.
Can I pick different models for different workflows?
Yes. Use a faster model for common questions and a stronger model for complex reasoning. InsertChat supports that balance per conversation.
Where can I deploy an assistant?
Use a widget, embed, full-page assistant, custom domain, in-app embed, or API. Reuse one setup across surfaces.
Do I need coding skills?
No. Build and deploy AI assistants using our visual builder. The embed code is one line of JavaScript.
Can I customize the branding and UI?
Yes. Customize the assistant name, logo, colors, welcome message, suggested prompts, tone, domain, and white-label presentation.
Can I use my own domain?
Yes. Custom domains are supported, typically via enterprise options.
Does InsertChat support voice?
Yes. Voice dictation and text-to-speech let users speak instead of type.
Does InsertChat support vision?
Yes. Enable vision for assistants when images help clarify a request or context.
What tools and integrations are supported?
Zendesk, HubSpot, Shopify, WooCommerce, calendar booking, web search, Perplexity, and webhooks for your own systems.
Can I control which tools the assistant is allowed to use?
Yes. Tool access is controlled per assistant so you enable only what you need.
Can the agent hand off to a human?
Yes. Configure human handoff so the agent escalates when needed. Full conversation history is passed along.
Do you provide analytics?
Yes. Track chats, leads, feedback, top questions, unanswered questions, most-used sources, and content gaps.
Is it mobile friendly?
Yes. The widget and embeds work well on desktop and mobile with no separate experience needed.
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.