Watsonx FAQs

Question 1

What types of AI tasks can Watsonx perform?

Accepted Answer

Watsonx provides extensive AI capabilities, including text generation, interactive chat with watsonx.ai models, generation of text embeddings for semantic search, comprehensive document analysis (summarization, Q&A), and dynamic listing of all available foundation models.

Question 2

What is Watsonx and its primary purpose?

Accepted Answer

Watsonx is an MCP server designed to integrate IBM watsonx.ai foundation models (like Granite, Llama, and Mistral) with Claude Code. Its primary purpose is to enable Claude to delegate advanced AI tasks to these powerful IBM models.

Question 3

How does Watsonx integrate with Claude Code?

Accepted Answer

Watsonx integrates as a Model Context Protocol (MCP) server. Once configured in Claude's environment, Claude Code can leverage watsonx.ai tools for specific workloads, effectively creating a two-agent system where Claude delegates tasks to IBM's AI capabilities.

Question 4

Which IBM watsonx.ai foundation models are supported?

Accepted Answer

The integration supports a variety of leading foundation models available through IBM watsonx.ai, such as IBM Granite (e.g., Granite 3.3 8B Instruct, Granite 13B Chat v2), Meta Llama 3 70B Instruct, Mistral AI Large, and IBM Slate for embeddings.

Question 5

Does Watsonx support advanced features like RAG and document processing?

Accepted Answer

Yes, Watsonx includes powerful tools for document processing, analysis, and Retrieval Augmented Generation (RAG). It can summarize, analyze, and answer questions about documents, generate embeddings for semantic search, build embedding indexes, and perform batch operations like document classification or topic extraction.

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