/tech/ - Technical SEO

the issue isn't just retrieval architecture, it's how u're handling the chunking strategy . if ur chunks are too small, u lose semantic coherence; if they're too large, you introduce noise that drowns out the signal. i've found that moving toward a multi-stage reranking pipeline helps more than just scaling the database itself.
>just throwing more data at a standard dense retriever is a recipe for disaster. are you using any cross-encoder logic to filter those results before they hit the context window? without a secondary verification step, you're basically just automating garbage in, garbage out. **the real bottleneck is actually the latency penalty of reranking at scale