---
title: "FAISS"
description: "1 posts about FAISS, summarised, each linking to the original."
---

# FAISS
> 1 posts about FAISS, summarised, each linking to the original.

## Articles

### [LLM-assisted vector similarity search](https://yomu.fyi/post/llm-assisted-vector-similarity-search.md)
- Company: [Grab](https://yomu.fyi/company/grab.md)
- Author: Md Riyadh
- Published: Oct 23, 2024
- Type: Benchmark

Vector similarity search can struggle with queries containing negation, constraints, or conceptual requirements, even though it efficiently retrieves semantically similar records. The proposed method uses FAISS and OpenAI text-embedding-ada-002 embeddings to shortlist 15 candidates, then asks GPT-4o to rank the candidates against the original query and return the top three. On two GPT-4o-curated synthetic datasets—100 food dishes and 100 Asian tourist spots—the assisted method matched raw search on straightforward queries but produced more relevant results for complex ones, including excluding fish or shrimp and identifying wildlife-related places. The authors note limits from the small datasets and query set, report similar relevance improvements in an internal deployment involving more than 4,500 relational-database rows, and identify shortlist size and added LLM latency as areas for further evaluation.