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⇱ Agentic RAG: Understanding or Exploring Its Meaning and Applications | Glama


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Agentic RAG: Understanding or Exploring Its Meaning and Applications

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  • Why this server?

    This server provides AgentQL's data extraction capabilities enabling AI agents to get structured data from unstructured web sources. Useful for building Agentic RAG pipelines.

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    A server that provides AgentQL's data extraction capabilities enabling AI agents to get structured data from unstructured web
    Last updated
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    174
    MIT
  • Why this server?

    This server offers a comprehensive set of tools, including web resources and file systems interaction, which can be used for RAG pipelines and by agents.

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    A comprehensive Model Context Protocol server implementation that enables AI assistants to interact with file systems, databases, GitHub repositories, web resources, and system tools while maintaining security and control.
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    MIT
  • Why this server?

    This server allows AI assistants to search and access documentation or codebases, enabling users to chat with code or docs by simply pointing to a git repository or folder. This is useful for building RAG pipelines for codebases.

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    A flexible Model Context Protocol server that makes documentation or codebases searchable by AI assistants, allowing users to chat with code or docs by simply pointing to a git repository or folder.
    Last updated
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    MIT
  • Why this server?

    Provides data retrieval capabilities powered by Chroma embedding database, enabling AI models to create collections over generated data and user inputs, and retrieve that data using vector search, full text search, and metadata filtering. Useful for RAG.

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    A server that provides data retrieval capabilities powered by Chroma embedding database, enabling AI models to create collections over generated data and user inputs, and retrieve that data using vector search, full text search, and metadata filtering.
    Last updated
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    566
    Apache 2.0
  • Why this server?

    A modular dynamic API server based on the MCP protocol that provides rich tool capabilities for AI assistants while also reducing prompt token consumption.

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    A modular dynamic API server based on the MCP protocol that provides rich tool capabilities for AI assistants while significantly reducing prompt token consumption.
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  • Why this server?

    This server helps large language models index, search, and analyze code repositories with minimal setup - useful in Agentic RAG.

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    A Model Context Protocol (MCP) server that helps large language models index, search, and analyze code repositories with minimal setup
    Last updated
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    967
    MIT
  • Why this server?

    A personal knowledge management system that transforms daily notes into organized, searchable knowledge using the Model Context Protocol - this is useful in Agentic RAG implementations.

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    A personal knowledge management system that transforms daily notes into organized, searchable knowledge using the Model Context Protocol.
    Last updated
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    MIT
  • Why this server?

    Enhances LLM applications with deep autonomous web research capabilities, delivering higher quality information than standard search tools by exploring and validating numerous trusted sources.

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    Enhances LLM applications with deep autonomous web research capabilities, delivering higher quality information than standard search tools by exploring and validating numerous trusted sources.
    Last updated
    351
    MIT
  • Why this server?

    A server that enables LLMs to interact with web pages, take screenshots, generate test code, scrape web pages, and execute JavaScript in a real browser environment. It can be used to extract data from web pages.

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    A Model Context Protocol server that enables LLMs to interact with web pages, take screenshots, generate test code, scrape web pages, and execute JavaScript in a real browser environment.
    Last updated
    29
    53
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    MIT