From the Sandbox to Your Own Account: Create an Index, Ingest Documents and Search with AI

AI API: Vectors, Images & LLM

The RAG in 60 seconds sandbox builds a temporary index that deletes itself after 3 days. To keep your work, do the same three steps in your own account. Your index is permanent, private, and entirely yours.

Before you start

You need your account email and your API key. Find the API key after signing in, under My Account. Every call below uses these two values.

1Create your index

One call creates a managed Solr index in the region closest to you, with vector search ready.

POST https://opensolr.com/solr_manager/api/create_index
email=YOUR_EMAIL & api_key=YOUR_API_KEY & solr_index_name=my_research

Full parameters and options →

2Ingest your documents

Push documents as JSON, or give a document URL (PDF, DOCX, web page) and Opensolr extracts the text for you. Each document is embedded automatically, so vector search works right after.

POST https://opensolr.com/solr_manager/api/ingest
{"email":"YOUR_EMAIL","api_key":"YOUR_API_KEY","core_name":"my_research",
 "documents":[{"uri":"https://example.com/report.pdf","title":"Report","rtf":true}]}

How to push documents and files →

3Ask in any language

Two calls give you the full RAG answer: embed_and_search finds the relevant passages, then ai_summary writes the answer with citations. This is exactly what the sandbox does.

RAG in two calls →

That is the whole flow: create, ingest, search. The sandbox was the same three steps on a temporary index. In your account the index stays, grows as large as your plan allows, and is searchable from your own site or app. See also testing your AI search and vector embeddings.