Back to browse
GitHub Repository

tiny memories

15 starsPython

Raglet(open-source)–portable RAG for small text corpora (no infra)

by cepstrum9·Mar 9, 2026·2 points·1 comment

AI Analysis

●●SolidSolve My ProblemCozy

Embedded semantic search without vector DB or LLM calls—just save and git commit.

Strengths
  • No external dependencies or infrastructure—pure Python with zero runtime costs
  • Semantic search via embeddings with configurable ranking, immediately usable for code/docs
  • Portable serialization means indexes travel with source control, great for small teams
Weaknesses
  • Competes with llamafile, LlamaIndex local mode, and Chroma for the same niche
  • Unclear if embeddings are local or cloud-based; readme doesn't specify model source
Target Audience

Developers building LLM apps with small private corpora (codebases, notes, docs)

Similar To

LlamaIndex · Chroma · llamafile

Similar Projects

Infrastructure●●Solid

Rivestack – Managed PostgreSQL with pgvector, $29/mo

It spins up dedicated Postgres instances with pgvector pre-installed, uses Patroni for HA and pgBackRest for snapshots, and publishes concrete vector benchmarks (2k QPS @ <4ms for 10k vectors; 252 QPS at 1M). The stack choices (Hetzner NVMe, read replicas, HNSW) feel pragmatic for teams who don't want serverless/shared trade-offs, though I'd want clearer SLA/multi-region details and independent benchmarks at larger scales before moving critical workloads.

Niche GemSolve My Problem
stranger90
103mo ago
AI/MLMid

Built an webpage to show Singaporean infra and laws

Triple-LLM failover (Gemini → Llama 3.3 via OpenRouter → Groq), local BGE‑M3 embeddings and FAISS-backed retrieval show someone thought about latency and uptime, not just model demos. The README brags about 33k pages and 'non-hallucination' claims but stops short of evaluation details or realistic ops guidance — running 70B models and local embedding stacks is impressive on paper but a heavy lift in practice.

Niche GemWizardry
Goodguy27
323mo ago
AI/MLMid

RAG built for Frappe using TurboVec

RAG for Frappe when LangChain and LlamaIndex already support custom integrations.

Ship It
nathaah3
204d ago