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Gentoro

The Bridge Between LLMs and Enterprise Apps

Gentoro simplifies enterprise AI development with prompt-driven workflows and LLM-powered automation. It eliminates manual coding, reduces inaccuracies, and ensures secure, efficient integration of proprietary data with public or private LLMs.

Location San Francisco, CA Joined Joined on  GitHub logo External link icon
Employees

8

Using MCP Server to Integrate LLMs into Your Systems

Using MCP Server to Integrate LLMs into Your Systems

5
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3 min read
Building Bridges: Connecting LLMs with Enterprise Systems

Building Bridges: Connecting LLMs with Enterprise Systems

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6 min read
Rethinking LangChain in the Agentic AI World

Rethinking LangChain in the Agentic AI World

14
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10 min read
Why Function-Calling GenAI Must Be Built by AI, Not Manually Coded

Why Function-Calling GenAI Must Be Built by AI, Not Manually Coded

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5 min read
Function-Calling vs. Model Context Protocol (MCP)

Function-Calling vs. Model Context Protocol (MCP)

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3 min read
User-Aligned Functions to Improve LLM-to-API Function-Calling Accuracy

User-Aligned Functions to Improve LLM-to-API Function-Calling Accuracy

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11 min read
Function-based RAG: Extending LLMs Beyond Static Knowledge Bases

Function-based RAG: Extending LLMs Beyond Static Knowledge Bases

5
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15 min read