# RAG System Builder 1 Cache Embeddings

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

- Skill: `vamseeachanta/rag-system-builder-1-cache-embeddings` (Agent Skill)
- Install (CLI): `npx skillmds@latest add vamseeachanta/rag-system-builder-1-cache-embeddings`
- Raw SKILL.md: https://api.skillmd.com/api/skills/vamseeachanta/rag-system-builder-1-cache-embeddings/raw
- Safety review: PASS (external: skill-scanner PASS, skillspector PASS)
- Works with: Claude Code, Claude.ai, OpenAI Codex
- Category: AI & ML
- Author: vamseeachanta (https://skillmd.com/u/vamseeachanta)
- Updated: 2026-09-17
- Page: https://skillmd.com/skills/vamseeachanta/rag-system-builder-1-cache-embeddings

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# 1. Cache Embeddings (+2)

## 1. Cache Embeddings


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

## 2. Use FAISS for Large Collections


```python
import faiss

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

## 3. Batch Queries


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