Multimodal AI Glossary

Multimodal data

• What is a multimodal database?

  A multimodal database stores structured values and typed media in one schema. An image, a video, an audio clip, or a document is a column the engine understands, not a file path hidden in a string.

• What is a multimodal table?

  A multimodal table is a row-and-column object that holds structured values and typed media together, with derived columns and history on that same object.

• What is a typed media column?

  A typed media column stores an image, video, audio clip, or document as a value the engine can decode, iterate, and index, instead of an opaque blob.

• What is an image column?

  An image column stores a still picture as a first-class value a schema can caption, embed, or transform.

• What is a video column?

  A video column stores a clip with a timeline, so frames, audio, and timestamps stay addressable from the row.

• What is an audio column?

  An audio column stores a waveform or audio container the schema can transcribe, embed, or synthesize from.

• What is a document column?

  A document column stores a PDF or similar file so pages and passages can be split, embedded, and cited from the row.

• What is a TableModel?

  A TableModel is a Python class that declares tables, computed columns, and indexes. HTTP routes are a FastAPIRouter next to the class, not fields on it.

• What is a view?

  A view is a derived table whose rows are produced from a base table, often one row per frame, chunk, or other iterator output, and stay aligned when the base changes.

• What is an iterator?

  An iterator expands one source row into many child rows — frames, sentences, pages — and keeps a pointer back to the source.

• What is a multimodal data plane?

  A multimodal data plane is the layer that stores media, runs transforms, and serves retrieval as one system of record, rather than glue between a bucket, a warehouse, and an index.

• What is an application database?

  An application database stores the scalar rows of an app — users, orders, documents as JSON — and serves CRUD over them.

Retrieval

• What is RAG?

  Retrieval-augmented generation answers from a corpus you supply. The model sees retrieved passages, images, or other snippets at question time, not only what it learned in training.

• What is an embedding?

  An embedding is a numeric vector that places a passage, frame, or other piece in a space where similar items sit near each other.

• What is an embedding index?

  An embedding index ranks nearest neighbors for a query and stays attached to the table that owns those rows.

• How does an embedding index differ from a vector database?

  A vector database stores vectors and answers similarity queries. An embedding index is that search capability declared on the same table that holds the source pieces.

• What is chunking?

  Chunking splits a source into retrieval units — sentences, pages, token windows — small enough to embed and cite.

• What is semantic search?

  Semantic search ranks items by meaning, using embeddings, not only by exact keyword match.

• What is cross-modal search?

  Cross-modal search queries one modality with another — a sentence against frames, a still against a video library — because they share an embedding space.

• What is multimodal RAG?

  Multimodal RAG retrieves pages, frames, or transcripts — not only plain-text passages — and passes those pieces to the model.

• What is a retrieval UDF?

  A retrieval UDF packages a similarity query so an agent or another column can call retrieval as a function.

Video

• How does video search work?

  Video search finds a moment inside a clip, not only a filename. The usual path is to sample frames, embed each frame, and rank those frames by similarity to a text phrase or a still image.

• What is video RAG?

  Video RAG retrieves a moment — a frame, a timestamp, and maybe a transcript line — and gives that evidence to the model.

• What is a frame iterator?

  A frame iterator walks a video at a chosen rate and emits one row per frame, with an index and a timestamp on the source clip.

• What is keyframe extraction?

  Keyframe extraction selects representative frames — fixed rate or scene changes — so search and models run on stills instead of every encoded frame.

• What is video intelligence?

  Video intelligence is a pipeline that turns clips into structured outputs you can search: frames, detections, transcripts, and embeddings.

• What is a video moment?

  A video moment is a search hit that names the source clip plus a time offset, and often a frame, so you can jump to the match.

Documents

• What is PDF RAG?

  PDF RAG keeps the file, splits it into passages or pages, embeds those units, and generates an answer that can cite them.

• What is a document splitter?

  A document splitter cuts a document into retrieval units — sentences, paragraphs, or pages — as rows over the source file.

• What is OCR?

  OCR, optical character recognition, turns pixels of text — scans, screenshots, photos — into strings.

• What is document extraction?

  Document extraction pulls text, layout, or tables out of a file so later columns can chunk, embed, or summarize.

• What is document Q&A?

  Document Q&A answers questions from stored documents using retrieved passages, not a model that only saw the file once in its context window.

Audio

• What is speech-to-text?

  Speech-to-text transcribes spoken audio into text that can be searched, chunked, or passed to a model.

• What is Whisper?

  Whisper is a speech-recognition model family used to transcribe audio and video soundtracks into text.

• What is text-to-speech?

  Text-to-speech synthesizes spoken audio from text.

• What is audio intelligence?

  Audio intelligence turns calls, podcasts, or voiceovers into chapters, search, and structured fields on top of a transcript.

• What is an audio embedding?

  An audio embedding is a vector for a clip or a transcript window, used to find similar speech or sound rather than only exact words.

Vision

• What is computer vision?

  Computer vision is the set of models and pipelines that detect, classify, segment, or search visual content.

• What is CLIP?

  CLIP is a model that maps images and text into one space, so a sentence can retrieve a matching picture or frame.

• What is object detection?

  Object detection finds instances of objects in an image or frame and returns boxes, usually with a class and a score.

• What is YOLO?

  YOLO is a family of real-time object detectors, including YOLOX, that predict boxes and classes on stills or video frames.

• What is image segmentation?

  Image segmentation labels the pixels or regions that belong to an object or a prompt, rather than only a bounding box.

• What is visual search?

  Visual search finds similar images or frames from a picture or a text description, using visual embeddings.

• What is image annotation?

  Image annotation is human or model labels — boxes, captions, classes — stored on visual rows so training and review can reuse them.

• What is image generation?

  Image generation synthesizes or edits a picture from a prompt or another picture, and stores the result as an image.

Agents

• What is agent memory?

  Agent memory is durable, queryable state an agent reads and writes across turns: messages, retrieved facts, and tool results, not a hidden JSON file.

• What is MCP?

  MCP, the Model Context Protocol, is a standard way for models and editors to call tools and read resources from a server.

• What is a stateful agent?

  A stateful agent chooses its next action from persisted history and artifacts, not only from the current prompt.

• What is an agent harness?

  An agent harness is the data and tool layer an agent runs against — tables, memory, retrieval, and HTTP — so the loop is not just a prompt file.

• What is an agent session log?

  An agent session log is a table of turns, tool calls, and outcomes you can query later.

• What is a context graph?

  A context graph links what an agent retrieved, chose, and produced, so you can inspect why it acted.

Orchestration

• What is a declarative pipeline?

  A declarative pipeline is a schema of transforms. The engine decides when rows run, instead of you scheduling every step.

• What is a computed column?

  A computed column is a value produced by an expression or a model when the row or its dependencies change, then cached.

• What is a UDF?

  A UDF, a user-defined function, is your own logic the engine can call from a computed column or a query.

• What is a UDA?

  A UDA, a user-defined aggregate, reduces many rows — for example the frames of one clip — into a summary with logic you write.

• What is incremental computation?

  Incremental computation recomputes only the rows and downstream columns a change actually affects, instead of rerunning the whole pipeline.

• What is a dependency graph?

  A dependency graph records which columns depend on which, so an edit invalidates only descendants.

• What is an AI function?

  An AI function is a model call expressed in the schema — caption, transcribe, generate — rather than a separate pipeline product.

• How does rate limiting work for model APIs?

  Rate limiting throttles and retries provider calls so a burst or an HTTP 429 does not fail the rows that could have waited.

• What is structured output?

  Structured output constrains a model to JSON or a schema, so downstream columns get typed fields instead of free prose.

• What is a model provider?

  A model provider is the API that serves an embedding, a transcription, a vision model, or a chat model a column can call.

• What is local inference?

  Local inference runs a model on hardware you control, instead of calling a hosted model API.

• What is an LLM framework?

  An LLM framework is a library for chaining model calls, tools, and prompts in application code.

Storage

• What is a media store?

  A media store holds the bytes for images, video, audio, and documents. The catalog stores a typed pointer, not the bytes themselves.

• What is object storage?

  Object storage is a bucket API that holds blobs addressed by key. A database may point at those keys instead of copying every byte.

• What is a local catalog?

  A local catalog is the on-disk database, caches, and media home where tables live when you run the engine on your own machine.

• What is bring-your-own-bucket?

  Bring-your-own-bucket means media URIs point at a bucket you already pay for, so the catalog stores typed pointers instead of a second copy of the bytes.

• What is a file cache?

  A file cache keeps a local copy of media bytes so repeated transforms do not download the same object again.

• What is lakehouse export?

  Lakehouse export ships table data, often as Iceberg or Arrow, into an analytics lake without making the lake the system of record for media pipelines.

• What is a data warehouse?

  A data warehouse stores analytical tables for SQL over large scans. Unstructured files are usually paths or external tables, not typed media with model columns.

Versioning

• What is time travel?

  Time travel queries a prior version of a table, so you can see rows and computed outputs as they were after an earlier change.

• What is data lineage?

  Data lineage traces an output back to the source rows, the model, and the column definition that produced it.

• What is dataset versioning?

  Dataset versioning pins which rows, labels, and derived features a training or eval run used.

• What is reproducibility in a data pipeline?

  Reproducibility means you can inspect the same inputs and column definitions and get the same cached outputs, or a known diff.

Serving

• What is HTTP serving for tables?

  HTTP serving exposes insert, query, and computed results as routes from the same schema that defines the tables.

• What is a query decorator?

  A query decorator names a reusable query you can call from an agent, from HTTP, or from another column.

• How does the local-to-cloud loop work?

  The local-to-cloud loop runs the same schema on a laptop catalog and on a hosted database, so you change it locally and then apply it remotely.

• What is a CLI catalog?

  A CLI catalog is the same tables and services, operated from the terminal, that a dashboard can also show.

• What is a multimodal backend?

  A multimodal backend is storage, orchestration, retrieval, and HTTP for media and models in one deployable schema.

Cost

• What does an open-source multimodal AI stack cost?

  The bill is the engine, the hosted database if you use one, the media bytes, and the model APIs those pipelines call. A free license does not make the model calls free, and a low subscription does not make you a content-delivery network.

• What is egress?

  Egress is network transfer of stored bytes out of a provider, usually billed per gigabyte.

• How does incremental computation change AI cost?

  Incremental compute cost means you pay model APIs mainly for new or changed rows. Cached columns are not sent again.

• What is model API cost?

  Model API cost is the provider’s invoice for embeddings, transcription, vision, and chat. It is usually the surprise next to hosting.

Evaluation

• What is ML evaluation?

  ML evaluation scores model or pipeline outputs against labels or a judge, so you can compare versions.

• What is a feature store?

  A feature store serves consistent numeric or categorical features to training and to inference, usually for tabular models.

• What is active learning?

  Active learning chooses which unlabeled examples a person should label next, so the model improves faster than if you labeled at random.

• What is semantic deduplication?

  Semantic deduplication drops near-duplicate items by embedding similarity, not only by exact hash equality.

• What is dataset curation?

  Dataset curation selects, cleans, and versions the rows that train or evaluate a model.

Blog tags

Each tag used on the blog, and the concept it belongs to. 410 tags, 88 concepts.

• @pxt.query → What is a retrieval UDF?
• Active Learning → What is active learning?
• Advertising → What is visual search?
• Agent Architecture → What is a stateful agent?
• Agent Dashboard → What is a CLI catalog?
• Agent Data Plane → What is a multimodal data plane?
• Agent Engineering → What is a stateful agent?
• Agent Framework → What is a stateful agent?
• Agent Memory → What is agent memory?
• Agent State → What is agent memory?
• Agent-as-Tool → What is an agent harness?
• Agents → What is a stateful agent?
• Aggregations → What is a UDA?
• AI Agent Systems → What is an agent harness?
• AI Agents → What is a stateful agent?
• AI Architecture → What is a multimodal backend?
• AI Art → What is image generation?
• AI Automation → What is a declarative pipeline?
• AI Course → What is video intelligence?
• AI Data Infrastructure → What is a multimodal data plane?
• AI Data Processing → What is incremental computation?
• AI Data Stack → What is a multimodal data plane?
• AI Data Storage → What is a media store?
• AI Database → What is a multimodal database?
• AI Deployment → How does the local-to-cloud loop work?
• AI Evaluation → What is ML evaluation?
• AI Framework → What is an LLM framework?
• AI Functions → What is an AI function?
• AI Governance → What is data lineage?
• AI Infrastructure → What is a multimodal data plane?
• AI Integration → What is a model provider?
• AI Metrics → What is ML evaluation?
• AI Production → What is a multimodal backend?
• AI Project Failure → What is a multimodal data plane?
• AI Provider Comparison → What is model API cost?
• AI Testing → What is ML evaluation?
• AI Transformation → What is an AI function?
• AI Workflow → What is a declarative pipeline?
• AI Workflows → What is a declarative pipeline?
• AI/ML → What is ML evaluation?
• Airflow Alternative → What is a declarative pipeline?
• Amazon Nova → What is a model provider?
• Amazon S3 → What is object storage?
• Analytics → What is a data warehouse?
• Annotation Tools → What is image annotation?
• Anthropic → What is a model provider?
• Anthropic Claude → What is a model provider?
• Apache 2.0 → What does an open-source multimodal AI stack cost?
• API Integration → What is HTTP serving for tables?
• API Keys → What is HTTP serving for tables?
• API Management → How does rate limiting work for model APIs?
• APIs → What is HTTP serving for tables?
• Architecture → What is a multimodal backend?
• Array → What is a typed media column?
• Arrow Batches → What is lakehouse export?
• Audio → What is an audio column?
• Audio Processing → What is an audio column?
• Audio Transcription → What is speech-to-text?
• Audio Translation → What is text-to-speech?
• Automated Translation → What is text-to-speech?
• Automation → What is a declarative pipeline?
• AWS Bedrock → What is a model provider?
• Backend Architecture → What is HTTP serving for tables?
• Backend Infrastructure → What is a multimodal data plane?
• Bedrock → What is a model provider?
• Built-in Vector Search → What is an embedding index?
• Classification → What is computer vision?
• Claude → What is a model provider?
• Claude 3.5 Sonnet → What is a model provider?
• Claude AI → What is a model provider?
• Claude Vision → What is a model provider?
• CLI → What is a CLI catalog?
• CLIP → What is CLIP?
• Cloud AI → How does the local-to-cloud loop work?
• Code Generation → What is an AI function?
• Compliance → What is data lineage?
• Computed Columns → What is a computed column?
• Computer Vision → What is computer vision?
• Computer Vision Training → What is dataset curation?
• Context Engineering → What is a context graph?
• Context Graphs → What is a context graph?
• Convex → What is an application database?
• Cost Comparison → How does incremental computation change AI cost?
• Cost Optimization → How does incremental computation change AI cost?
• Cost Reduction → How does incremental computation change AI cost?
• Cost-Effective Hosting → How does incremental computation change AI cost?
• CPU Inference → What is local inference?
• Cross-Modal Search → What is cross-modal search?
• Custom Aggregations → What is a UDA?
• Custom Functions → What is a UDF?
• DAG Management → What is a declarative pipeline?
• DALL-E → What is image generation?
• Dashboard → What is a CLI catalog?
• Data Aggregation → What is a UDA?
• Data Annotation → What is image annotation?
• Data Annotation Platforms → What is image annotation?
• Data Architecture → What is a multimodal backend?
• Data Curation → What is dataset curation?
• Data Engineering → What is a multimodal data plane?
• Data Export → What is lakehouse export?
• Data Freshness → What is time travel?
• Data Friction → What is a multimodal data plane?
• Data Infrastructure → What is a multimodal data plane?
• Data Labeling → What is image annotation?
• Data Lineage → What is data lineage?
• Data Pipelines → What is a declarative pipeline?
• Data Plumbing → What is dataset curation?
• Data Sharing → What is lakehouse export?
• Data Silos → What is a multimodal data plane?
• Data Versioning → What is time travel?
• Data Wrangling → What is dataset curation?
• Data-Centric AI → What is a multimodal data plane?
• Databricks → What is a data warehouse?
• Databricks Alternative → What is a data warehouse?
• Dataset Management → What is dataset versioning?
• Dataset Preparation → What is dataset versioning?
• Dataset Versioning → What is dataset versioning?
• Datasets → What is dataset versioning?
• Debugging → What is a dependency graph?
• Decision Traces → What is a context graph?
• Declarative → What is a declarative pipeline?
• Declarative AI → What is a declarative pipeline?
• Declarative Pipelines → What is a declarative pipeline?
• Declarative Schema → What is a TableModel?
• Deepseek → What is a model provider?
• DeepSeek → What is a model provider?
• DeepSeek-V3 → What is a model provider?
• Deployment → How does the local-to-cloud loop work?
• DETR → What is object detection?
• Docker → What is a local catalog?
• Document → What is a document column?
• Document Processing → What is a document column?
• Document RAG → What is PDF RAG?
• Document Understanding → What is document extraction?
• Durable Execution → What is incremental computation?
• Durable State → What is agent memory?
• E-commerce → What is visual search?
• Efficient LLM → What is a model provider?
• Embedded Postgres → What is an application database?
• Embedding Analytics → What is an embedding?
• Embedding Index → What is an embedding index?
• Embedding Indexes → What is an embedding index?
• Embedding Management → What is an embedding?
• Embeddings → What is an embedding?
• Encord → What is image annotation?
• ETL → What is a declarative pipeline?
• Evals → What is ML evaluation?
• Evaluation Infrastructure → What is ML evaluation?
• Event Sourcing → What is an agent session log?
• Excel → What is dataset curation?
• Experimentation → What is incremental computation?
• fal.ai → What is image generation?
• Fast Inference → What is a model provider?
• FastAPI → What is HTTP serving for tables?
• Feast → What is a feature store?
• Feature Store → What is a feature store?
• File Management → What is a media store?
• FILE Type → What is a typed media column?
• Fine-Tuning → What is dataset curation?
• FinOps → How does incremental computation change AI cost?
• Fireworks AI → What is a model provider?
• FLUX → What is image generation?
• Frame Iterator → What is a frame iterator?
• frame_iterator → What is a frame iterator?
• Full-Stack → What is a multimodal backend?
• Full-Stack AI → What is a multimodal backend?
• Gemini → What is a model provider?
• GGUF → What is local inference?
• Google Gemini → What is a model provider?
• Governance → What is data lineage?
• GPT-4 → What is a model provider?
• GPT-4o → What is a model provider?
• GPU Inference → What is local inference?
• Groq → What is a model provider?
• Guardrails → What is structured output?
• HTAP → What is a data warehouse?
• HTTP Serving → What is HTTP serving for tables?
• Hugging Face → What is a model provider?
• Hugging Face Buckets → What is object storage?
• HuggingFace → What is a model provider?
• Iceberg → What is lakehouse export?
• Image Analysis → What is an image column?
• Image Editing → What is an image column?
• Image Generation → What is image generation?
• Image to Video Search → What is cross-modal search?
• Imagen → What is image generation?
• Incremental AI → What is a computed column?
• Incremental Computation → What is incremental computation?
• Incremental Compute → What is a computed column?
• Incremental Updates → What is a computed column?
• Infrastructure → What is a multimodal data plane?
• IVM → What is incremental computation?
• Jev → What is ML evaluation?
• Jina → What is an embedding?
• Json → What is structured output?
• JSON → What is structured output?
• Keyframes → What is keyframe extraction?
• Knowledge Base → What is document Q&A?
• Label Studio → What is image annotation?
• Labelbox → What is image annotation?
• Lakehouse → What is lakehouse export?
• LanceDB Integration → How does an embedding index differ from a vector database?
• LangChain → What is an LLM framework?
• LangChain Alternative → What is an LLM framework?
• LangChain Alternatives → What is an LLM framework?
• Lineage → What is data lineage?
• list_iterator → What is an iterator?
• Llama → What is a model provider?
• Llama 3.3 → What is a model provider?
• llama.cpp → What is local inference?
• LLM → What is a model provider?
• LLM Agents → What is a stateful agent?
• LLM Inference → What is a model provider?
• LLM Providers → What is a model provider?
• LLMs → What is a model provider?
• Local LLM → What is local inference?
• Local-First Development → What is a local catalog?
• LTAP → What is a data warehouse?
• Machine Learning → What is ML evaluation?
• MCP → What is MCP?
• Media Columns → What is a typed media column?
• Media Store → What is a media store?
• Memory → What is agent memory?
• Memory Architecture → What is agent memory?
• Microsoft Fabric → What is a data warehouse?
• Mistral AI → What is a model provider?
• Mistral Small → What is a model provider?
• Mixtral → What is a model provider?
• ML Data Pipeline → What is a declarative pipeline?
• ML Engineering → What is ML evaluation?
• ML Infrastructure → What is a multimodal data plane?
• ML Orchestration → What is a declarative pipeline?
• ML Pipeline → What is a declarative pipeline?
• ML Production → What is a multimodal backend?
• ML Training → What is dataset curation?
• MLOps → What is a declarative pipeline?
• Model Context Protocol → What is MCP?
• Model Lineage → What is data lineage?
• Model Marketplace → What is a model provider?
• Model Training → What is dataset curation?
• MongoDB Alternative → What is an application database?
• Multi-Agent Systems → What is an agent harness?
• Multi-Provider → What is model API cost?
• Multi-Provider AI → What is model API cost?
• Multimodal → What is a multimodal database?
• Multimodal AI → What is a multimodal database?
• Multimodal Chatbot → What is a multimodal database?
• Multimodal Data → What is a multimodal table?
• Multimodal Data Table → What is a multimodal table?
• Multimodal LLM → What is multimodal RAG?
• Multimodal RAG → What is multimodal RAG?
• Multimodal Search → What is semantic search?
• Nebius → What is a model provider?
• Neon → What is an application database?
• Object Detection → What is object detection?
• Object Storage → What is object storage?
• Observability → What is a dependency graph?
• OCR → What is OCR?
• OLAP → What is a data warehouse?
• Ollama → What is local inference?
• OLTP → What is an application database?
• Open Source → What does an open-source multimodal AI stack cost?
• Open Source AI → What does an open-source multimodal AI stack cost?
• Open Source LLM → What is local inference?
• OpenAI → What is a model provider?
• OpenAI Whisper → What is Whisper?
• OpenAPI → What is HTTP serving for tables?
• OpenRouter → What is a model provider?
• Optimization → What is incremental computation?
• Orchestration → What is a declarative pipeline?
• Orchestration Framework → What is a declarative pipeline?
• Pandas → What is dataset curation?
• Pandas vs Pixeltable → What is dataset curation?
• PDF → What is a document column?
• Performance → What is incremental computation?
• Performance Optimization → What is incremental computation?
• Persistence → What is agent memory?
• Pinecone Alternative → How does an embedding index differ from a vector database?
• Pipelines → What is a declarative pipeline?
• Pixeltable Storage → What is a media store?
• Pixeltable vs Airflow → What is a declarative pipeline?
• Pixeltable vs LangChain → What is an LLM framework?
• Pixeltable vs Pinecone → How does an embedding index differ from a vector database?
• PIXELTABLE_HOME → What is a local catalog?
• Podcast → What is audio intelligence?
• Post-AI Data Stack → What is a multimodal data plane?
• Postgres → What is an application database?
• PostgreSQL → What is an application database?
• Private AI → What is local inference?
• Product Catalog → What is visual search?
• Production AI → What is a multimodal backend?
• Production AI Infrastructure → What is a multimodal data plane?
• Production RAG → What is PDF RAG?
• Promptable Segmentation → What is image segmentation?
• PyArrow → What is lakehouse export?
• Pydantic → What is structured output?
• Python → What is a TableModel?
• Python REPL → What is a CLI catalog?
• Python SDK → What is a CLI catalog?
• Python UDFs → What is a UDF?
• PyTorch → What is dataset curation?
• PyTorch Integration → What is dataset curation?
• Queries → What is a retrieval UDF?
• Query Decorator → What is a query decorator?
• Query Patterns → What is a retrieval UDF?
• Qwen → What is a model provider?
• RAG → What is RAG?
• RAG Comparison → What is PDF RAG?
• RAG Deployment → What is PDF RAG?
• RAG Infrastructure → What is PDF RAG?
• RAG Performance → What is PDF RAG?
• RAG Pipeline → What is PDF RAG?
• RAG Systems → What is PDF RAG?
• Rate Limiting → How does rate limiting work for model APIs?
• Reasoning → What is a model provider?
• Replicate → What is a model provider?
• Reproducibility → What is reproducibility in a data pipeline?
• Rerun Alternative → What is computer vision?
• Retrieval → What is RAG?
• Retrieval UDF → What is a retrieval UDF?
• Reusable Queries → What is a retrieval UDF?
• Reve → What is image generation?
• RunwayML → What is image generation?
• S3 Files → What is object storage?
• Sales Intelligence → What is audio intelligence?
• SAM 3 → What is image segmentation?
• Scale AI → What is image annotation?
• Schema Design → What is a TableModel?
• Schema Validation → What is a TableModel?
• Schema-Driven → What is a TableModel?
• Segment Anything Model 3 → What is image segmentation?
• Segmentation → What is image segmentation?
• Self-Hosted → What is a local catalog?
• Self-Hosted AI → What is a local catalog?
• Semantic Layer → What is a data warehouse?
• Semantic Search → What is semantic search?
• Serverless Functions → What is an application database?
• Serving → What is HTTP serving for tables?
• Session Log → What is an agent session log?
• Session State → What is an agent session log?
• Similarity Search → What is semantic search?
• Simple Deployment → How does the local-to-cloud loop work?
• Smart Image Organizer → What is an image column?
• Speech Recognition → What is speech-to-text?
• Stable Diffusion → What is image generation?
• State Management → What is agent memory?
• Stateful Agents → What is a stateful agent?
• Storage → What is a media store?
• Storage Architecture → What is a media store?
• Structured Data → What is structured output?
• Supabase → What is an application database?
• SuperAnnotate → What is image annotation?
• TableModel → What is a TableModel?
• Tecton → What is a feature store?
• Templates → What is an agent harness?
• Testing → What is ML evaluation?
• Text Extraction → What is a document splitter?
• Text Generation → What is an AI function?
• Text-to-Speech → What is text-to-speech?
• Time Travel → What is time travel?
• Together AI → What is a model provider?
• Tool Calling → What is an agent harness?
• Training Automation → What is dataset curation?
• Training Data → What is dataset versioning?
• Training Infrastructure → What is dataset curation?
• Twelve Labs → What is video intelligence?
• Type Safety → What is a typed media column?
• Type System → What is a typed media column?
• TypeSafe → What is a typed media column?
• UDA → What is a UDA?
• UGC → What is visual search?
• Unified AI Infrastructure → What is a multimodal data plane?
• Unified Backend → What is a multimodal backend?
• Unified Infrastructure → What is a multimodal data plane?
• Unified Multimodal AI Infrastructure → What is a multimodal database?
• User-Defined Aggregates → What is a UDA?
• V7 → What is image annotation?
• Vector Database → How does an embedding index differ from a vector database?
• Vector Database Alternative → How does an embedding index differ from a vector database?
• Vector Database Comparison → How does an embedding index differ from a vector database?
• Vector Search → What is an embedding index?
• Veo → What is image generation?
• Version Control → What is time travel?
• Versioning → What is time travel?
• Video → How does video search work?
• Video Agent → What is video RAG?
• Video AI → What is video intelligence?
• Video Analysis → What is a video column?
• Video Analytics → What is a video column?
• Video Finder → What is a video moment?
• Video Generation → What is video intelligence?
• Video Intelligence → What is video intelligence?
• Video Processing → What is a video column?
• Video Search → How does video search work?
• Video Segmentation → What is video intelligence?
• Video Translation → What is video intelligence?
• Video Understanding → What is a video column?
• VideoRAG → What is video RAG?
• Vision AI → What is computer vision?
• Visual AI → What is computer vision?
• Visual Search → What is visual search?
• vLLM → What is local inference?
• Voiceover Automation → What is text-to-speech?
• Whisper → What is Whisper?
• Whisper API → What is speech-to-text?
• Whisper Translation → What is Whisper?
• Workflow → What is a declarative pipeline?
• Workflow Automation → What is a declarative pipeline?
• YOLO Family → What is YOLO?
• YOLOX → What is YOLO?

Not a concept page

These tags stay on the blog. Some are the brand, a release, or an event. The rest are general words, such as a team, an industry, or a menu label, that are not a category this glossary defines.

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