Nicheloom

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RAGless

similar to RAG, but $0 LLM API costs at runtime

Details

External ID
49296595
Source
HN
Company
—
Product
RAGless
Website domain
github.com
Launched
Aug. 14, 2026
Cohort
—
Upvotes
6
Upvotes percentile
0.3125
Tags
—
Fetched at
Sept. 10, 2026, 5:32 a.m.
Updated at
Sept. 10, 2026, 5:32 a.m.

Enrichment

Theme
ML inference and model optimization
Vertical
Horizontal
Function
Model & infra
Audience
Developer
AI stance
AI-native
Project type
Commercial product
Normalized one-liner
rag alternative with zero runtime llm costs
Manually corrected
False

Could you build this?

Yes Zero-LLM-runtime retrieval systems rely on precomputed embeddings, static search indices (BM25 or client-side vector search), or rule-based templates, all easily implementable with modern vibe-coding workflows.

Discussion

8 comments analyzed.

Competitors mentioned: Traditional RAG (Retrieval-Augmented Generation)

Concerns raised: Quality comparison on unpredictable queries vs traditional RAG, Search query to embedding alignment problem not addressed in documentation, Scalability with real usage and changing data, Economics and cost benefits unclear at production scale

Feature requests: Documentation explaining query embedding methodology, Artifact validation approach beyond schema enforcement

Competitors

Other products that read as similar to this one — 858 launches clear the similarity bar, closest 8 shown.

Attention rank: #580 of 859 (itself plus its competitors, highest first — normalized so YC and Product Hunt are compared fairly).

Launched 287 days after the earliest competitor.

Other launches for this product

Same idea, different domain

Nobody's really built a model & infra tool for Fintech yet.