WSO2 Docs FAQs

Question 1

Which WSO2 products' documentation is covered by this tool?

Accepted Answer

The tool provides semantic search over documentation for multiple WSO2 products, including API Manager, Micro Integrator, Choreo, Ballerina, Ballerina Integrator, and the broader WSO2 Library.

Question 2

Which AI clients are compatible with WSO2 Docs?

Accepted Answer

WSO2 Docs offers seamless integration with popular AI clients including Claude Desktop, Claude Code, Cursor, and VS Code, allowing developers to leverage its capabilities directly within their preferred environments.

Question 3

Does WSO2 Docs support hardware acceleration for local embeddings?

Accepted Answer

Yes, WSO2 Docs optimizes local embedding inference with hardware acceleration. It leverages ARM NEON SIMD for Apple Silicon (M-series chips) and NVIDIA GPUs, offering significant speedups for efficient processing.

Question 4

What embedding providers can I use with WSO2 Docs?

Accepted Answer

WSO2 Docs supports a flexible range of embedding providers, including local options like Ollama and HuggingFace ONNX (with hardware acceleration), as well as cloud providers such as OpenAI, Google Gemini, and Voyage AI.

Question 5

What is WSO2 Docs?

Accepted Answer

WSO2 Docs is a Model Context Protocol (MCP) server that empowers AI assistants with Retrieval-Augmented Generation (RAG) based semantic search across comprehensive WSO2 documentation, providing relevant context for AI queries.

WSO2 Docs

WSO2 Docs

Key Features

Use Cases

Key Features

Use Cases