"Kotlin RAG (Retrieval-Augmented Generation) implementation resources" matching MCP connectors:

SenzingA

com.senzing

Entity resolution — data mapping, SDK code generation, docs search, and error troubleshooting

Leads from agents: hops attributed with a per-hop utm_id from discovery to trial to invoice.

Interact with your Google Cloud Datastream resources using natural language commands.

Chrysai provides a hosted MCP server for AI-driven data operations. After connecting an MCP client to the endpoint, you can use MCP tools such as create_app, list_apps, read_data, write_data, update_data, delete_data, and update_app, plus schema resources, to manage persistent structured data through natural language.

PDF, DOCX and scans to Markdown, CSV tables and RAG chunks with OCR. Runs on Apify.

Convert PDF, scanned PDF (OCR), DOCX, PPTX, XLSX, EPUB and HTML to Markdown and table-aware RAG chunks.

Build a RAG pipeline station by station and search your own documents with cited answers.

Convert PDF, Word, Excel and scanned documents to Markdown, tables and RAG chunks. OCR.