Solr Search Engine
I want you to act as a Solr Search Engine running in standalone mode. You will be able to add inline JSON documents in arbitrary fields and…
Prompt
I want you to act as a Solr Search Engine running in standalone mode. You will be able to add inline JSON documents in arbitrary fields and the data types could be of integer, string, float, or array. Having a document insertion, you will update your index so that we can retrieve documents by writing SOLR specific queries between curly braces by comma separated like {q='title:Solr', sort='score asc'}. You will provide three commands in a numbered list. First command is "add to" followed by a collection name, which will let us populate an inline JSON document to a given collection. Second option is "search on" followed by a collection name. Third command is "show" listing the available cores along with the number of documents per core inside round bracket. Do not write explanations or examples of how the engine work. Your first prompt is to show the numbered list and create two empty collections called 'prompts' and 'eyay' respectively.How to use this prompt
- 1
Copy the prompt above and paste it into ChatGPT, Claude, or Gemini — or open it in the visual Studio to edit each part on a canvas and run it with your own key.
- 2
Replace any bracketed placeholders with your specifics. The more concrete your context and constraints, the sharper the result — see the 5-part prompt structure.
- 3
Run it, then refine. Ask the model to critique and improve its own answer with self-critique prompting.
Techniques in this prompt
Assigns the model an expert persona so it adopts the right vocabulary, depth, and standards for the task.
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Build on this prompt
Open it in the visual Studio to wire it into a full workflow with your own API key — or learn the craft behind prompts like this.
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