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

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    A multi-agent Retrieval-Augmented Generation system exposed as an MCP server. Ask a question and a LangGraph pipeline plans the retrieval, pulls evidence from a pgvector knowledge base, optionally augments it with live web research, drafts a cited answer, and then self-critiques it for grounding — revising until the answer is supported by the sources.
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    MIT
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    Enables ingestion and semantic search over text documents using PostgreSQL + pgvector and OpenAI-compatible embeddings, allowing any LLM agent to retrieve relevant chunks for grounded answers.
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    AGPL 3.0
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    Searches local markdown files using TF-IDF retrieval and serves full documents as resources.
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    A local MCP server that enables LLMs to securely search and read files within designated Google Drive folders. Supports Google Docs, Google Sheets, PDFs, and plain text with strict folder-scoping via service account authentication.
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    MIT
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    MCP server for accessing World Bank data, enabling indicator search, data retrieval, country comparisons, trend analysis, rankings, and chart generation.
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    MIT
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    DEVONthink 4 connector with six tools for search, retrieval, and write operations. Dry-run by default, append-only audit log, selective undo via audit_id; macOS-only, MIT, local-only, clean-room implementation.
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    MIT
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    Rust-powered PDF toolkit over MCP: create, read, and analyze PDFs; extract text and entities for RAG; convert to Markdown; split/merge/rotate/reorder pages; manage form fields and annotations; encrypt documents. Runs locally via uvx oxidize-mcp.
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    MIT
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    Enables multi-level reasoning with configurable depth levels, session-based state management, structured thought input, and real-time trace resources.
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    MIT
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    Persistent memory management for AI assistants like Claude, enabling creation, search, and retrieval of memories with tagging and triggers.
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    MIT
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    This MCP server provides comprehensive Google Workspace integration (Gmail, Drive, etc.) with multi-user OAuth. Unique features include RAG-powered natural language to Chat card rendering, runtime Jinja2 macro creation, and dynamic tool management.
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    Apache 2.0
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    The server enables Claude Code to rent, drive, and terminate Prime Intellect GPU pods with hard spend caps, allowing AI agents to provision and manage cloud GPU resources autonomously.
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    MIT