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Build self-hosted RAG AI Agents powered by open-source LLMs, use LLM models from Ollama and Huggingface, add external API calls, python and shell scripts for context-aware LLM interactions, add validation checks, and build Bring Your Own Infrastructure (BYOI) Dockerized AI Agent images.

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What is Kdeps?

Kdeps is a no-code framework for building self-hosted RAG AI Agents powered by open-source LLMs.

  1. It uses open-source LLMs by default.
  2. Has a built-in context-aware RAG workflow system.
  3. Builds a Docker image of the AI Agent.

Kdeps - Overview

Kdeps is packed with features:

I know, that's a lot. Let's dive into the details.

You can get started with Kdeps via installing it with a single command.

See the examples.

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Build self-hosted RAG AI Agents powered by open-source LLMs, use LLM models from Ollama and Huggingface, add external API calls, python and shell scripts for context-aware LLM interactions, add validation checks, and build Bring Your Own Infrastructure (BYOI) Dockerized AI Agent images.

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