Maintenance held back their AI assistant. Now, hybrid search queries clinical studies and chat logs with precision.
A software platform transforming conversational data into business insights for global clients like Pfizer and Mercado Libre, backed by grants from Start-Up Chile and Station F.
Clients demanded a conversational interface to query internal knowledge, but the existing open-source database was too cumbersome to maintain at...
“Pinecone opened up new possibilities for interacting with data, leading to innovative products like our AI assistant for Feedback Analysis.”
AI platform for analyzing unstructured text and customer conversations.
Managed vector database for AI search, retrieval, and recommendation systems.
Related implementations across industries and use cases
Engineers spent weeks manually sharding. A serverless RAG pipeline now auto-scales 100 million vectors.
Isolating data for 50,000 clients was operationally impossible. Multi-tenancy now serves 6.1M queries from a single instance.
Similarity search mixed up Q3 and Q4 earnings. Hybrid AI now anchors retrieval with keywords and learns from human fixes instantly.
Similarity search mixed up Q3 and Q4 earnings. Hybrid AI now anchors retrieval with keywords and learns from human fixes instantly.
Daily updates delayed new content. A unified database now runs twice-daily refreshes with zero downtime.
Scattered spreadsheets couldn't catch AI hallucinations. Now, automated LLM judges evaluate every prompt change to block regressions.
Moderation couldn't keep pace with 600M users. AI agents now filter toxicity while models recognize 2.5B objects to refine search.
Hundreds of pages per board book slowed director prep. Now, isolated AI securely condenses sensitive materials into actionable briefs.
Experts spent 15 minutes pulling data from scattered systems. Natural language prompts now generate detailed reports instantly.
Maintenance held back their AI assistant. Now, hybrid search queries clinical studies and chat logs with precision.
A software platform transforming conversational data into business insights for global clients like Pfizer and Mercado Libre, backed by grants from Start-Up Chile and Station F.
Clients demanded a conversational interface to query internal knowledge, but the existing open-source database was too cumbersome to maintain at...
“Pinecone opened up new possibilities for interacting with data, leading to innovative products like our AI assistant for Feedback Analysis.”
AI platform for analyzing unstructured text and customer conversations.
Managed vector database for AI search, retrieval, and recommendation systems.
Related implementations across industries and use cases
Engineers spent weeks manually sharding. A serverless RAG pipeline now auto-scales 100 million vectors.
Isolating data for 50,000 clients was operationally impossible. Multi-tenancy now serves 6.1M queries from a single instance.
Similarity search mixed up Q3 and Q4 earnings. Hybrid AI now anchors retrieval with keywords and learns from human fixes instantly.
Similarity search mixed up Q3 and Q4 earnings. Hybrid AI now anchors retrieval with keywords and learns from human fixes instantly.
Daily updates delayed new content. A unified database now runs twice-daily refreshes with zero downtime.
Scattered spreadsheets couldn't catch AI hallucinations. Now, automated LLM judges evaluate every prompt change to block regressions.
Moderation couldn't keep pace with 600M users. AI agents now filter toxicity while models recognize 2.5B objects to refine search.
Hundreds of pages per board book slowed director prep. Now, isolated AI securely condenses sensitive materials into actionable briefs.
Experts spent 15 minutes pulling data from scattered systems. Natural language prompts now generate detailed reports instantly.