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Vector Search Setup

$9.99

Skip the "which vector database should I use?" rabbit hole. This tool provides a unified interface to FAISS (in-memory), Chroma (persistent local), and Qdrant (scalable). Insert embeddings, run similarity queries, filter by metadata, and re-rank results — all with the same API regardless of which backend you choose.

What’s Included

✓ Unified vector store interface with adapters for FAISS, Chroma, and Qdrant
✓ Insert, upsert, and delete operations with batch support
✓ Cosine similarity and dot-product search with configurable top-k
✓ Metadata filtering (string, numeric, boolean, list membership)
✓ Result re-ranking via cross-encoder score or LLM relevance
✓ Persistent index save/load for FAISS
✓ CLI for indexing and querying from the terminal
✓ Example data, README, benchmarks, and MIT License

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🔒 Secure checkout via Stripe · Instant digital download · Python 3.10+ · MIT License