For AI agents: a documentation index is available at the root level at /llms.txt and /llms-full.txt. Append /llms.txt to any URL for a page-level index, or .md for the markdown version of any page.
Qdrant is a vector database and a semantic search engine. You can use its REST API to develop a production-ready service to store, search, and manage vectors with an additional payload.
How does Qdrant work?
First, you should create a collection to store all your data.
Then upsert data points and enrich them with a custom payload.
With a full collection, run a search to find relevant results.