How do I install the RAG System Builder 1 Cache Embeddings skill?

Run npx skillmds@latest add vamseeachanta/rag-system-builder-1-cache-embeddings in your terminal (requires Node.js), paste this page's agent-chat prompt into Claude, Cursor, or any MCP-connected agent, or download the SKILL.md file and copy it into your agent's skills directory.

What does the RAG System Builder 1 Cache Embeddings skill do?

Sub-skill of rag-system-builder: 1. Cache Embeddings (+2). It is listed under AI & ML on SkillMD.

Is RAG System Builder 1 Cache Embeddings safe to use?

SkillMD's automated safety review verdict for this skill is PASS. Independent scanners report: SkillSpector: PASS, Skill Scanner: PASS. SkillMD never runs a skill's scripts for you; review the SKILL.md before installing.

Which AI agents work with RAG System Builder 1 Cache Embeddings?

This skill is tagged as working with Claude Code, Claude.ai, OpenAI Codex. SKILL.md is an open format, so most agents that read a skills directory can load it too.

Is RAG System Builder 1 Cache Embeddings free to use?

Yes. Installing skills from SkillMD is free, and the skill stays under its author's original license.

Who published RAG System Builder 1 Cache Embeddings?

vamseeachanta (@vamseeachanta) published this skill. Their other Agent Skills are listed on their SkillMD profile.

RAG System Builder 1 Cache Embeddings

Name: RAG System Builder 1 Cache Embeddings
Author: vamseeachanta

Sub-skill of rag-system-builder: 1. Cache Embeddings (+2).

vamseeachanta Updated Sep 17, 2026

AI & ML

Install

Press C to copy

$ npx skillmds@latest add vamseeachanta/rag-system-builder-1-cache-embeddings

Installs into ~/.claude/skills (or .claude/skills inside a project). Restart Claude Code to pick it up.

Download SKILL.md

＋ Add to collection

README badge

[![SkillMD](https://skillmd.com/badge/vamseeachanta/rag-system-builder-1-cache-embeddings.svg)](https://skillmd.com/skills/vamseeachanta/rag-system-builder-1-cache-embeddings)

Trust & safety

3 of 3 audits passed

Last audited Sep 18, 2026 · commit 6bd28c2

Works with: Claude Code Claude.ai OpenAI Codex +

File contents

1. Cache Embeddings (+2)

1. Cache Embeddings

# Load all embeddings into memory at startup
self.embedding_cache = self._load_all_embeddings()

2. Use FAISS for Large Collections

import faiss

# Build FAISS index for fast similarity search
index = faiss.IndexFlatIP(dimension)  # Inner product for cosine sim
index.add(embeddings)

3. Batch Queries

# Process multiple questions efficiently
questions = ["Q1", "Q2", "Q3"]
query_embeddings = model.embed_batch(questions)

vamseeachanta/workspace-hub/tree/main/.agents/skills/_archive/data/documents/rag-system-builder/1-cache-embeddings commit 6bd28c2b11

Frequently asked questions

npx skillmds@latest add vamseeachanta/rag-system-builder-1-cache-embeddings