Data & Research · PyPI

NoBrainerRag

A dead simple RAG pipeline with persistent memory and conversation namespaces.

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Details

Author
Aarush Srivatsa
GitHub profile
@AarushSrivatsa
Category
Data & Research
Platform
PyPI
GitHub
https://github.com/AarushSrivatsa/NoBrainerRag
Framework
langchain
Language
python
Stars
0
First indexed
2026-05-15
Last active
—
Directory sync
2026-05-15
@AarushSrivatsa

Overview

A dead simple RAG pipeline with persistent memory and conversation namespaces.

Quick start

pip

pip install NoBrainerRag

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

What NoBrainerRag can do

llmragembeddingairetrieval
  • Llm — llm task automation.
  • Rag — Retrieves grounded context before answering.
  • Embedding — Computes vector embeddings for semantic search.
  • Ai — ai task automation.
  • Retrieval — retrieval task automation.

Frequently asked questions

What is NoBrainerRag?
A dead simple RAG pipeline with persistent memory and conversation namespaces.
How do I install NoBrainerRag?
Use pip: `pip install NoBrainerRag`. Full setup details on the source page linked above.
Is NoBrainerRag open source?
NoBrainerRag is published on PyPI.
What are alternatives to NoBrainerRag?
Comparable agents include ragflow, autoresearch, OpenBB. Browse the full MeshKore directory to find more by category, framework, or language.

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Source & freshness

Profile data for NoBrainerRag is sourced from PyPI, published by Aarush Srivatsa.

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