prompt
The text given to a language model to produce a response.
Also written: prompts
Example
An instruction, a fact to use, and a question.
prompt
Which film is about a jealous toy?Lessons that use this term
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73 lessons use this term. The 40 with the highest term density are listed here.
Building GraphRAG Python MCP tools28 mentions
- Building PromptsBuilding Database-Connected Featuresyou'll learn about prompts - reusable templates that guide users in how to interact with your MCP18 mentions
- Building MCP serversGetting Started with MCPare pre-defined templates that help users interact with your server4 mentions
- Create a Movie ResourceBuilding Database-Connected Featuresclient will prompt1 mention
Building GraphRAG TypeScript MCP tools32 mentions
- Building PromptsBuilding Database-Connected Featuresyou will learn about prompts - reusable templates that guide users in how to interact with your MCP23 mentions
- Building MCP serversGetting Started with MCPtools, resources, and prompts by calling methods on this class, and use Zod schemas to define typed input7 mentions
Constructing Knowledge Graphs with Neo4j GraphRAG for Python12 mentions
- LLM configurationCustomizationthe prompt to cater to your specific8 mentions
- Extracting a schema from textKnowledge Graph PipelineCreates a prompt instructing the LLM to:2 mentions
- Constructing knowledge graphsIntroductionshould provide a suitable prompt that will instruct the LLM2 mentions
Neo4j & GenerativeAI Fundamentals12 mentions
- ContextGenerative AIcan improve the accuracy of responses from LLMs by providing context in your prompts6 mentions
- What is Generative AIGenerative AITo get an LLM to perform a task, you provide a prompt3 mentions
- GenAI FrameworksIntegrating Neo4j with Generative AILLM usage, prompt and output1 mention
- What is RAG?Retrieval Augmented Generation (RAG)Response Generation The retrieved information is inserted into the prompt, and the language model uses this context to generate a more accurate and relevant2 mentions
Using Neo4j with LangChain15 mentions
- Cypher GenerationText to Cypherthe accuracy of the generated Cypher queries you can customize the generation prompt for your data8 mentions
- Simple LangChain AgentNeo4j and LangChainis added to the agents prompt5 mentions
- SchemaText to Cyphersubmitted, the schema is automatically read from the database and added to the prompt1 mention
- RetrieverText to CypherProviding a custom prompt and specific1 mention
Building Agents in Neo4j Aura7 mentions
- Create your first agentIntroduction to Aura Agentexample prompt and questions below use3 mentions
Context Graphs: Agent Memory with Neo4j11 mentions
- Build and run the agentContext Graphs and Reasoning Memorythis challenge, you will complete a Pydantic AI agent, run it against two prompts, and verify that the reasoning trace was written to your3 mentions
- The Stateless Agent ProblemShort-Term Memoryfrom a blank slate — the model only knows what you include in the current prompt2 mentions
- The Complete Memory APIIntroduction to Agent Memorythree memory layers at once and formats the result for injection into an LLM prompt3 mentions
Neo4j Agent Memory Workshop27 mentions
- Add Short-term Memory to Your AgentShort-term Memoryagent's tools and prompt will need the memory client on every8 mentions
- Add Long-term Memory to Your AgentLong-term Memoryit's for; its ctx parameter carries your deps in, exactly as your dynamic prompt's5 mentions
- An Agent That ForgetsIntroduction to Agent Memorythe you> prompt, tell it your name and what you are working on, and press2 mentions
- The Same Agent, With MemoryIntroduction to Agent Memorythe you> prompt, introduce yourself4 mentions
- Combined ContextReasoning Memorythe matches into a single block of text, sized to drop straight into an LLM prompt2 mentions
- The Starting AgentIntroduction to Agent Memoryit's ready, it shows a you> prompt1 mention
- Make It YoursYour Own Memory Tool, how_did_i_handle | What your agent should look up | | System prompt | Course policy | Your policy1 mention
Neo4j and Generative AI Workshop15 mentions
- What is Generative AIGenerative AIget an LLM to perform a task, you provide a prompt8 mentions
- Extracting a schema from textKnowledge Graph ConstructionCreates a prompt instructing the LLM2 mentions
- Constructing knowledge graphsKnowledge Graph Constructionshould provide a suitable prompt that will instruct the LLM2 mentions
Developing with Neo4j MCP Tools6 mentions
- Building applications with MCP toolsUsing Neo4j MCP Toolsthe agent to create this application using the following prompt2 mentions
- What is MCP?Agentic Systems and MCPtools can also provide Prompt templates, allowing the client to use pre-written prompts that follow best3 mentions
Running Neo4j in Docker3 mentions
- Start a Single InstanceRunning Neo4j and Clusters with Dockerthe cypher-shell prompt, create a few nodes and return how many now2 mentions
Zero to Production Hands-On Workshop6 mentions
- AgentsAccess your dataCreate a new agent and provide a prompt describing the agent's role and4 mentions
- DashboardsAccess your data!["The prompt entered to create the2 mentions
GraphRAG Hackathon5 mentions
- Build your first agent applicationTime to Buildwhole walkthrough is driven by prompts to your coding2 mentions
Building Dashboards with Neo4j Aura3 mentions
- Exploring DashboardsIntroduction to Neo4j DashboardsCreate with AI feature that generates dashboards based on natural language prompts1 mention
Building Knowledge Graphs with LLMs4 mentions
- Customize the schemaLLM Graph BuilderThe prompt used to extract entities and1 mention
- How to Construct a Knowledge Graph with an LLMLLM Graph Buildershould provide a suitable prompt that will instruct the LLM2 mentions
AuraDB Fundamentals4 mentions
- Security and logsOperationsthe prompts to complete the SSO2 mentions