Applications
Don't burn tokens on search. 📉🔥 Will Templeton, CTO and co-founder at Allspice, explains why they don't let LLMs search their 10,000+ ingr…
Don't burn tokens on search. 📉🔥 Will Templeton, CTO and co-founder at Allspice, explains why they don't let LLMs search their 10,000+ ingredient database: ❌ Searching 10k items in a prompt = waste of
Don't burn tokens on search. 📉🔥 Will Templeton, CTO and co-founder at Allspice, explains why they don't let LLMs search their 10,000+ ingredient database: ❌ Searching 10k items in a prompt = waste of time & money. ✅ Vector Search (Pinecone) finds the Top 5 in ms. 🧠 LLM parses the results for "modifiers" & "quantity." "Vector search is the enabling piece. It takes 10,000 ingredients and says: 'These are the five that are closest.'" 🎯 Build for efficiency. Use the right tool for the job. 🛠️ 📺Full breakdown on The Spoon Podcast: https://youtu.be/TeNWlU4L2Ss?si=X5Gh2ung-gp1kb31 📖 Case study: https://www.pinecone.io/customers/allspice/?utm_source=twitterx&utm_medium=organic-social&utm_campaign=allspice Media
Related
- Million of recipes. Fuzzy ingredient data. One afternoon to solve it. 🍳⚡ Will Templeton, CTO and co-founder at Allspice, explains why Pinec…
- 390M+ embeddings. 100K+ namespaces. Sustained P50 latency of ~60ms at ~40 QPS. 📈 @ZoomInfo used our Dedicated Read Nodes, now in GA, to byp…
- Dedicated Read Nodes are now generally available. Predictable performance at scale. Up to 97% lower costs on real production workloads. Fixe…
- IBM demonstrates extreme scale with a 100B vector database
Source: Pinecone (X) | 2026-04-23