Agent skill
rag-system-builder-1-cache-embeddings
Sub-skill of rag-system-builder: 1. Cache Embeddings (+2).
Install this agent skill to your Project
npx add-skill https://github.com/vamseeachanta/workspace-hub/tree/main/.claude/skills/_archive/data/documents/rag-system-builder/1-cache-embeddings
SKILL.md
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)
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