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AEO/GEO RAG Knowledge Base
Source: metehan777/cc-aeo-geo-fulltext-CC-MAIN-2026-21 (Common Crawl CC-MAIN-2026-21, AEO/GEO filtered)
Contents
chunks.parquet— 1,187,728 text chunks with metadata (domain, url, q_score, etc.)embeddings.npy— float32 normalized embeddings, shape (1187728, 384)
Embedding model
BAAI/bge-small-en-v1.5 (384-dim, normalized)
Chunking
- 512 tokens (~2048 chars) with 64 token overlap
- HTML/boilerplate cleaned (nav, cookie, footer, scripts)
Usage
import numpy as np
import pandas as pd
from sentence_transformers import SentenceTransformer
chunks = pd.read_parquet("chunks.parquet")
embs = np.load("embeddings.npy")
model = SentenceTransformer("BAAI/bge-small-en-v1.5")
query = "How to optimize for AI search engines?"
q_emb = model.encode([query], normalize_embeddings=True)
scores = (embs @ q_emb.T).ravel()
top_k = scores.argsort()[-10:][::-1]
for i in top_k:
print(f"score={scores[i]:.3f} | {chunks.iloc[i]['domain']}")
print(chunks.iloc[i]['text'][:200])
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