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Chat with RAG over test and domain corpora to retrieve grounded answers.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "case-chat" yet — see the docs or source repo.
Based on the indexed domain knowledge corpus, answer: what is the retrieval-augmented generation workflow in this system? Summarize the key steps.
A grounded answer from the knowledge corpus, outlining retrieval, context assembly, and generation steps.
Search the synthetic test corpus for content related to "error handling," list the topics found, and identify any obvious gaps.
A list of relevant topics, summaries of retrieved content, and an assessment of coverage gaps.
For the topic "access control," provide answers based on the test corpus and the domain knowledge corpus separately, then compare the differences.
Separate answers from both corpora, plus a comparison of completeness, accuracy, and emphasis.
Chat with AI to retrieve documents and trigger MCP-powered tools.
Chat with AI models via Anthropic API with retrieval and command prompts.
Search local AI chat history semantically and extract context, thoughts, and profile summaries.
Production-ready MCP server for query normalization, retrieval, and RAG prompt building.
Answer questions from documents with multi-agent RAG and human approval.
Turn unstructured documents into a searchable knowledge base for AI agents.