Redis Copilot
An AI assistant in Redis Insight and the Redis docs that answers questions about Redis commands and concepts and, connected to a user's own database, turns plain-language requests into Redis search queries over that data.
Find alternatives to Redis Copilot
What it does
- Data analysis
Features 3
- Personal AI AssistantA chatbot that answers general Redis questions, plus a query builder for complex queries.
- Natural-language query buildingConstruct search queries in natural language with context-aware assistance for your data.
- Smart suggestionsSuggestions for building queries, improving performance and fixing problems based on your dataset.
Sources
- Pricing
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Official documentation · 10 Oct 2026
Redis Insight: "Best of all, it's 100% free". The FAQ: the docs instance "is free for anyone to use".
- Description
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Official documentation · 10 Oct 2026
Two features: a general chatbot (also in the public docs) and a "my data" chatbot that "lets you construct search queries using everyday language". It "is powered by the OpenAI API platform".
- What it does
- Sold within
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Official documentation · 10 Oct 2026
"our free developer tool featuring our AI-powered assistant"; using it in Redis Insight needs a Redis Cloud sign-in, created "at no extra cost".
- Name
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Official documentation · 10 Oct 2026
"Redis Copilot is an AI-powered developer assistant that helps you learn about Redis, explore your Redis data, and build search queries in a conversational manner."
- URL
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Official documentation · 10 Oct 2026
Redis Insight's product page carries a "Personal AI Assistant" section: "Redis Copilot is a chatbot built to answer general Redis questions and a query builder to help you build complex queries based on your dataset."
- Modalities
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Official documentation · 12 Oct 2026
Page: 'Redis Copilot is a chatbot built to answer general Redis questions'.
Also from Redis
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Redis Search API service
Vector search and hybrid (vector + exact-match) query engine built into Redis, marketed as "the world's fastest vector database" for GenAI apps and RAG pipelines at billions-of-vectors scale.
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Redis Iris Infrastructure service
Redis's context engine for AI agents, bundling Context Retriever, Agent Memory, LangCache, Data Integration and Redis Search into one runtime that keeps agents supplied with live business data, memory and cached answers, managed on Redis Cloud or self-managed on Kubernetes.
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Redis LangCache API service
A semantic cache for LLM calls: before an app calls its model, LangCache embeds the prompt, looks for a semantically similar prompt already answered and returns the stored response, with configurable similarity thresholds, TTLs and eviction, through a REST API.
-
Redis Agent Memory API service
A memory service for AI agents that keeps each conversation as ordered session events with automatic summarisation, extracts durable facts into long-term memory in the background, and retrieves them across sessions by semantic, keyword or hybrid search.
-
Redis Context Retriever API service
A schema-first context layer that turns a modelled set of business entities, fields and relationships into generated retrieval tools agents call over MCP, so agents read live operational data through governed, row-filtered lookups rather than writing SQL.
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