Dictionary
Vector Database
A database optimized for similarity search over embeddings.
Definition
A Vector Database stores high-dimensional embeddings and retrieves the nearest neighbors of a query vector, enabling semantic search, recommendation, and the retrieval step of RAG.
Example
Embed every paragraph of your docs, then at query time embed the user question and pull the top 5 nearest paragraphs as grounding.
Related Workflows
Related Tool Stacks
Related Prompts
↳ connected nodes
Workflow↳ linked
Build an Internal Knowledge Bot
Ship a Slack bot that answers questions from your company docs.
Workflow↳ linked
AI Customer Onboarding Flow
Walk every new user through activation with an AI guide.
Tool Stack↳ linked
RAG Starter Stack
Minimum viable stack to ship a production RAG chatbot.
Prompt↳ linked
Grounded Answer Prompt
Force the model to answer only from provided sources, with citations.
Workflow↳ linked
RAG Content Ingestion Pipeline
Convert messy docs into searchable, cited knowledge chunks for AI systems.