Code & Development · GitHub ·8 ★

rag-api

RAG-API: A production-ready Retrieval Augmented Generation API leveraging LLMs, vector databases, and hybrid search for accurate, context-aware responses with citation support.

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Details

Author
iamarunbrahma
Category
Code & Development
Platform
GitHub
Framework
llamaindex
Language
python
Stars
8
First indexed
2026-05-15
Last active
2024-12-02
Directory sync
2026-05-15
@iamarunbrahma

Overview

RAG-API: A production-ready Retrieval Augmented Generation API leveraging LLMs, vector databases, and hybrid search for accurate, context-aware responses with citation support.

Quick start

git

git clone https://github.com/iamarunbrahma/rag-api

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

What rag-api can do

hrapidataragllm
  • Hr — Handles people operations such as hiring and policy Q&A.
  • Api — api task automation.
  • Data — Reads, transforms, and analyses structured data.
  • Rag — Retrieves grounded context before answering.
  • Llm — llm task automation.

Frequently asked questions

What is rag-api?
RAG-API: A production-ready Retrieval Augmented Generation API leveraging LLMs, vector databases, and hybrid search for accurate, context-aware responses with citation support.
How do I install rag-api?
Use git: `git clone https://github.com/iamarunbrahma/rag-api`. Full setup details on the source page linked above.
Is rag-api open source?
rag-api is published on GitHub.
What are alternatives to rag-api?
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 rag-api is sourced from GitHub, published by iamarunbrahma.

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