ContextChat Glossary
Understand the key terms related to ContextChat, our AI-powered platform for contextual chat and content extraction. This glossary explains concepts like content ingestion, AI-powered conversations, persistent context, and more.
A
AI-Powered Insights
Discovering patterns, obtaining summaries, or getting answers from the aggregated context by interacting with ContextChat's advanced artificial intelligence.
aiAI-Powered Chat
Discuss the aggregated context using advanced artificial intelligence to get answers, summaries, and insights directly from your data.
aiC
Contextual Chat
AI-powered conversation that understands and utilizes a specific set of provided information (context) to generate relevant responses.
aiContent Ingestion
The process of importing information from various sources (URLs, sitemaps, files, GitHub repos) into the ContextChat platform to build a knowledge base.
generalContent Extraction
Automatically identifying and retrieving relevant information from ingested sources using AI.
aiChat Session
An individual conversation instance within a project that leverages the project's defined contextual information for AI-powered discussions.
featureCredits (ContextChat)
Units used in the pay-as-you-go system, consumed for actions such as ingesting content, extracting information, or engaging in AI chat interactions.
generalComprehensive Extraction
Automatically extract relevant content from selected URLs and sources.
aiE
Effortless Content Ingestion
Quickly and easily retrieve context from web pages, documents, and code repositories.
featureF
File Ingestion
Uploading local files (e.g., PDF, DOCX, TXT) to add their content to the project's knowledge base in ContextChat.
featureG
GitHub Repository Import
A feature allowing direct ingestion of code, documentation, and other content from a GitHub repository to create a knowledgeable AI companion for a software project.
featureI
Information Aggregation
Combining extracted content from multiple sources into a unified and manageable text format for AI processing and chat interactions.
generalIntelligent Aggregation
Combine extracted content into a cohesive and manageable text format.
generalK
Knowledge Base
The collection of ingested and processed information that the AI uses as its context for conversations within a project.
generalM
Multiple Chat Sessions
Create and maintain separate chat sessions within the same project, leveraging the same contextual information.
featureP
Persistent Context
A feature where an updated knowledge base is automatically available across all chat sessions within a project, eliminating repetitive data entry and ensuring consistent AI responses.
featureProject (ContextChat)
An organizational unit within ContextChat used to group related contexts, knowledge bases, and chat sessions for focused interactions.
generalPay-As-You-Go Pricing
A flexible pricing model where users pay based on their actual usage of ContextChat services (e.g., credits consumed for ingestion or chat) rather than a fixed recurring subscription.
generalS
Sitemap Ingestion
Importing content from multiple pages of a website efficiently by providing its sitemap URL to ContextChat.
featureU
URL Ingestion
Importing content directly from a single web page by providing its URL to ContextChat.
feature