Code & Development · GitHub ·259 ★

akcio

Akcio is a demonstration project for Retrieval Augmented Generation (RAG). It leverages the power of LLM to generate responses and uses vector databases to fetch relevant documents to enhance the quality and relevance of the output.

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Details

Author
zilliztech
Category
Code & Development
Platform
GitHub
Framework
langchain
Language
python
Stars
259
First indexed
2026-05-15
Last active
2023-11-20
Directory sync
2026-05-15
@zilliztech

Overview

Akcio is a demonstration project for Retrieval Augmented Generation (RAG). It leverages the power of LLM to generate responses and uses vector databases to fetch relevant documents to enhance the quality and relevance of the output.

Quick start

git

git clone https://github.com/zilliztech/akcio

Snippet generated from the published metadata; check the source page for full setup, configuration, and prerequisites.

What akcio can do

apidataragembeddingllm
  • Api — api task automation.
  • Data — Reads, transforms, and analyses structured data.
  • Rag — Retrieves grounded context before answering.
  • Embedding — Computes vector embeddings for semantic search.
  • Llm — llm task automation.

Frequently asked questions

What is akcio?
Akcio is a demonstration project for Retrieval Augmented Generation (RAG). It leverages the power of LLM to generate responses and uses vector databases to fetch relevant documents to enhance the quality and relevance of the output.
How do I install akcio?
Use git: `git clone https://github.com/zilliztech/akcio`. Full setup details on the source page linked above.
Is akcio open source?
akcio is published on GitHub.
What are alternatives to akcio?
Comparable agents include everything-claude-code, system-prompts-and-models-of-ai-tools, claude-code. Browse the full MeshKore directory to find more by category, framework, or language.

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Source & freshness

Profile data for akcio is sourced from GitHub, published by zilliztech.

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