Dictionary
Semantic Search
Finding information by meaning rather than exact keyword match.
1 min read
/ quick answer
Semantic Search embeds queries and documents into vectors so the system can retrieve conceptually similar material even when wording differs. Finding information by meaning rather than exact keyword match.
Finding information by meaning rather than exact keyword match. Semantic Search embeds queries and documents into vectors so the system can retrieve conceptually similar material even when wording differs. In practice: A query for 'refund after trial' returns policy pages titled 'cancellation window' and 'billing exceptions'. This dictionary node is part of the Onexial knowledge graph and links to related concepts, workflows and tools below.
Definition
Semantic Search embeds queries and documents into vectors so the system can retrieve conceptually similar material even when wording differs.
Example
A query for 'refund after trial' returns policy pages titled 'cancellation window' and 'billing exceptions'.
Related Workflows
Related Tool Stacks
Related Prompts
/ frequently asked
What is Semantic Search?
Semantic Search embeds queries and documents into vectors so the system can retrieve conceptually similar material even when wording differs.
What is an example of Semantic Search?
A query for 'refund after trial' returns policy pages titled 'cancellation window' and 'billing exceptions'.
Why does Semantic Search matter for AI and automation?
Finding information by meaning rather than exact keyword match. It connects to the workflows, prompts and tool stacks linked on this page, so you can move from definition to execution without leaving Onexial.
↳ connected nodes
Workflow↳ linked
RAG Content Ingestion Pipeline
Convert messy docs into searchable, cited knowledge chunks for AI systems.
Workflow↳ linked
Build an Internal Knowledge Bot
Ship a Slack bot that answers questions from your company docs.
Tool Stack↳ linked
RAG Starter Stack
Minimum viable stack to ship a production RAG chatbot.
Tool Stack↳ linked
Knowledge Graph Stack
Relationship layer that maps concepts, workflows, prompts, tools, and cases.
Prompt↳ linked
Grounded Answer Prompt
Force the model to answer only from provided sources, with citations.
Workflow↳ linked
Customer Feedback Intelligence System
Turn support tickets, calls, reviews, and surveys into product signals.
Workflow↳ linked
AI SEO Cluster Builder
Create a structured topical map from keywords, SERPs, and internal knowledge nodes.
Workflow↳ linked
Automated Internal Linking
Auto-suggest 3-5 internal links per new article based on semantic match.
Workflow↳ linked
RSS to Social Auto-Poster
Publish curated links with AI commentary across X and LinkedIn.
Tool Stack↳ linked
RAG Context Enrichment Stack
A technical stack designed to enrich the contextual data provided to a Retrieval Augmented Generation (RAG) system, improving the quality and depth of LLM responses.
Workflow↳ linked
Reduce Agent Context Window Costs
This workflow details methods to minimize the token count within an AI agent's context window, directly reducing LLM API costs.