Qdrant Qdrant Retrieval with Alph

Qdrant Retrieval with Alph

Use Qdrant to retrieve info from Alph's llms.txt

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Semantic Search over `llms.txt` with Qdrant

Fetch any site's llms.txt, chunk it, embed it with a local model, index it in Qdrant, and search by meaning — all in one notebook.

No OpenAI key needed. Runs entirely on Alph + Qdrant Cloud.

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Note: you may need to restart the kernel to use updated packages.

⚙️ Connect

Credentials are loaded from .env automatically.

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📥 Fetch, Chunk & Embed

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Loading weights:   0%|          | 0/103 [00:00<?, ?it/s]

BertModel LOAD REPORT from: sentence-transformers/all-MiniLM-L6-v2
Key                     | Status     |  | 
------------------------+------------+--+-
embeddings.position_ids | UNEXPECTED |  | 

Notes:
- UNEXPECTED	:can be ignored when loading from different task/architecture; not ok if you expect identical arch.

Batches:   0%|          | 0/1 [00:00<?, ?it/s]

📦 Index into Qdrant

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✅ 6 points indexed into 'llms_txt_chunks'

🔍 Search

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SEARCH_QUERY

TOP_K

Want more? Change LLMS_TXT_URL to any site's /llms.txt and re-run · Swap the embedding model for higher quality · Pipe top-K results into an LLM for full RAG

Built on Alph · Powered by Qdrant · Embeddings by sentence-transformers