OpenViking FAQs

Question 1

What is OpenViking?

Accepted Answer

OpenViking is a server that provides AI assistants with access to an OpenViking knowledge base, facilitating advanced semantic search and intelligent document retrieval capabilities from various sources.

Question 2

How do I get started with OpenViking?

Accepted Answer

To get started, you'll need to install OpenViking via pip, configure an embedding model using Ollama, set up OpenCode with the OpenViking MCP integration, and then you can begin using its search and retrieval tools directly within OpenCode.

Question 3

How does OpenViking enhance AI assistants?

Accepted Answer

OpenViking empowers AI assistants by giving them the ability to intelligently query and retrieve specific, contextually relevant information from a knowledge base, understand document content, and summarize complex texts for more accurate and informed responses.

Question 4

What are the core features of OpenViking?

Accepted Answer

Its core features include semantic search powered by vector embeddings, reading and processing diverse document formats like PDF and Markdown, pattern matching for file searches, generating L0 abstracts and L1 overviews, and full-text keyword searching.

Question 5

What types of documents can OpenViking process?

Accepted Answer

OpenViking is designed to read and process content from various document formats, including commonly used types such as PDF files and Markdown (MD) documents, supporting diverse knowledge base sources.

OpenViking

OpenViking

Key Features

Use Cases

Key Features

Use Cases