Qdrant Memory FAQs

Question 1

What environment variables are required to run Qdrant Memory?

Accepted Answer

You need to set the OpenAI API key (`OPENAI_API_KEY`), Qdrant server URL (`QDRANT_URL`), Qdrant API key (`QDRANT_API_KEY`), and the name of the Qdrant collection (`QDRANT_COLLECTION_NAME`).

Question 2

How do I deploy Qdrant Memory?

Accepted Answer

You can deploy Qdrant Memory locally using `npm install` and `npm run build` or by using Docker. The README provides detailed instructions for both methods.

Question 3

What is Qdrant Memory?

Accepted Answer

Qdrant Memory is a tool that builds a knowledge graph with semantic search capabilities. It uses the Qdrant vector database for persistent storage of knowledge and OpenAI embeddings to enhance search accuracy.

Question 4

What are the key features of Qdrant Memory?

Accepted Answer

Key features include graph-based knowledge representation, semantic search powered by Qdrant, OpenAI embeddings, HTTPS support, and Docker deployment.

Question 5

How does Qdrant Memory use semantic search?

Accepted Answer

Qdrant Memory uses OpenAI embeddings to represent entities and relations as vectors in the Qdrant database. Semantic search then finds similar concepts based on the proximity of their vectors.

Qdrant Memory

Qdrant Memory

Key Features

Use Cases

Key Features

Use Cases