Models & APIs
AI & LLMs
Large language models, embeddings, RAG, agents, and AI product vocabulary.
Showing 1–15 of 54 terms · page 1 of 4
AI & LLMs
Large Language Model
Large Language Model is an AI and LLM concept for using transformer models trained on text to generate and reason over language so product teams ship reliable intelligence features faster.
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GPT-4o
GPT-4o is an AI and LLM concept for building multimodal features on OpenAI's GPT-4o model family so product teams ship reliable intelligence features faster.
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Claude Model
Claude Model is an AI and LLM concept for integrating Anthropic Claude models for long-context and safety-sensitive tasks so product teams ship reliable intelligence features faster.
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Gemini Model
Gemini Model is an AI and LLM concept for calling Google Gemini models for text, code, and vision workloads so product teams ship reliable intelligence features faster.
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OpenAI API
OpenAI API is an AI and LLM concept for accessing OpenAI models through authenticated HTTP APIs from your backend so product teams ship reliable intelligence features faster.
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Chat Completions API
Chat Completions API is an AI and LLM concept for sending role-based message arrays to generate assistant replies so product teams ship reliable intelligence features faster.
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Responses API OpenAI
Responses API OpenAI is an AI and LLM concept for using OpenAI's Responses API for stateful agent-style interactions so product teams ship reliable intelligence features faster.
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Assistants API
Assistants API is an AI and LLM concept for managing persistent assistants with files, tools, and thread history so product teams ship reliable intelligence features faster.
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Embeddings Model
Embeddings Model is an AI and LLM concept for converting text into dense vectors for similarity and retrieval so product teams ship reliable intelligence features faster.
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Vector Embedding
Vector Embedding is an AI and LLM concept for representing meaning as numeric vectors for nearest-neighbor lookup so product teams ship reliable intelligence features faster.
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Semantic Search
Semantic Search is an AI and LLM concept for finding content by meaning rather than exact keyword overlap so product teams ship reliable intelligence features faster.
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RAG Retrieval Augmented Generation
RAG Retrieval Augmented Generation is an AI and LLM concept for grounding LLM answers with retrieved documents from your knowledge base so product teams ship reliable intelligence features faster.
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Chunking Strategy RAG
Chunking Strategy RAG is an AI and LLM concept for splitting documents into retrieval-friendly segments with overlap and metadata so product teams ship reliable intelligence features faster.
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Vector Database
Vector Database is an AI and LLM concept for indexing embeddings for fast approximate nearest-neighbor search at scale so product teams ship reliable intelligence features faster.
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Pinecone
Pinecone is an AI and LLM concept for hosting managed vector indexes for RAG and recommendation workloads so product teams ship reliable intelligence features faster.
Read definitionPlant Doctor AI uses vision and coach chat in a consumer app — a grounded example of LLM features on mobile.
Plant Doctor AI: Plant CareAI-assisted plant care app that helps you organize plant care, scan plants, and receive structured guidance.View productRelated topics
AI workflows
Prompt Engineering
How to structure prompts, variables, outputs, and reusable AI workflows.
Server stack
Backend & Firebase
Firebase, Postgres, serverless APIs, auth, and mobile backend infrastructure terms.
Build & grow
Product & Startup
MVP, metrics, monetization strategy, and indie product vocabulary.