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Muffakir

Stop guessing. Find the RAG that works for your data.

Details

External ID
1256289
Source
PH
Company
—
Product
Muffakir
Website domain
producthunt.com
Launched
Oct. 1, 2026
Cohort
—
Upvotes
1
Upvotes percentile
0.34585152838427946
Tags
Open Source, Developer Tools, Artificial Intelligence, GitHub
Fetched at
Oct. 1, 2026, 5:01 p.m.
Updated at
Oct. 1, 2026, 5:01 p.m.

Description

Muffakir is an open-source, local-first workspace for RAG experimentation. Bring your data, define a search space across chunking, embeddings, retrieval, reranking, query transformation, models and more, then run reproducible trials, evaluate the results, compare quality, latency and cost, and export your selected pipeline back to Python.

Enrichment

Theme
retrieval systems and model optimization
Vertical
Horizontal
Function
Observability & eval
Audience
Developer
AI stance
AI-native
Project type
Commercial product
Normalized one-liner
rag evaluation tool for developers
Manually corrected
False

Could you build this?

Yes This is an orchestration and evaluation UI combining open-source RAG libraries (like LangChain or LlamaIndex) with Ragas or similar evaluation frameworks in a local-first interface.

Competitors

Other products that read as similar to this one — 5 launches clear the similarity bar.

Attention rank: #4 of 6 (itself plus its competitors, highest first — normalized so YC and Product Hunt are compared fairly).

Launched 301 days after the earliest competitor.

Other launches for this product

Same idea, different domain

Nobody's really built a observability & eval tool for Media & entertainment yet.