Search data kept in RAM required unsustainable hardware. A managed vector DB slashed costs and freed engineers to build AI agents.
A patent intelligence platform providing strategic insights on M&A and portfolio analysis for diverse industries, including the automotive sector.
The team initially built semantic search capabilities on a Lucene-based AWS service that required keeping all data in RAM to function. This setup was...
“We were trying to squeeze a vector database into what is not really a vector database, and it was super expensive and just not good. It was just the wrong technology, a complete overkill for the mathematical problem of approximate nearest neighbor search.”
AI-powered patent intelligence and monitoring platform for IP and R&D teams.
Open-source vector database for building AI applications and search experiences.
Related implementations across industries and use cases
Patent search crashed at 40M records. A serverless migration scaled capacity to 600M+ vectors with zero outages and ~$75k savings.
Attorneys lost 80% of their time sifting through files. AI now scans millions of documents to surface critical evidence in seconds.
Attorneys juggled fragmented tools to search 50,000 cases. An AI orchestrator now routes queries to sub-agents in a single chat.
Patent search crashed at 40M records. A serverless migration scaled capacity to 600M+ vectors with zero outages and ~$75k savings.
Attorneys lost 80% of their time sifting through files. AI now scans millions of documents to surface critical evidence in seconds.
Infrastructure compliance checks took months. Now, engineers use AI to parse massive datasets, cutting final review cycles by up to 90%.
Auditors lost hours manually recalculating financial statements. Now, AI verifies math and consistency so teams can analyze exceptions.
Analyzing 10TB of weekly telemetry took IT specialists days. Now, engineers ask AI in natural language to instantly retrieve charts.
Custom hardware bottlenecked imaging. A switch to software-defined GPUs now renders photorealistic 3D hearts in real time.
Search data kept in RAM required unsustainable hardware. A managed vector DB slashed costs and freed engineers to build AI agents.
A patent intelligence platform providing strategic insights on M&A and portfolio analysis for diverse industries, including the automotive sector.
The team initially built semantic search capabilities on a Lucene-based AWS service that required keeping all data in RAM to function. This setup was...
“We were trying to squeeze a vector database into what is not really a vector database, and it was super expensive and just not good. It was just the wrong technology, a complete overkill for the mathematical problem of approximate nearest neighbor search.”
AI-powered patent intelligence and monitoring platform for IP and R&D teams.
Open-source vector database for building AI applications and search experiences.
Related implementations across industries and use cases
Patent search crashed at 40M records. A serverless migration scaled capacity to 600M+ vectors with zero outages and ~$75k savings.
Attorneys lost 80% of their time sifting through files. AI now scans millions of documents to surface critical evidence in seconds.
Attorneys juggled fragmented tools to search 50,000 cases. An AI orchestrator now routes queries to sub-agents in a single chat.
Patent search crashed at 40M records. A serverless migration scaled capacity to 600M+ vectors with zero outages and ~$75k savings.
Attorneys lost 80% of their time sifting through files. AI now scans millions of documents to surface critical evidence in seconds.
Infrastructure compliance checks took months. Now, engineers use AI to parse massive datasets, cutting final review cycles by up to 90%.
Auditors lost hours manually recalculating financial statements. Now, AI verifies math and consistency so teams can analyze exceptions.
Analyzing 10TB of weekly telemetry took IT specialists days. Now, engineers ask AI in natural language to instantly retrieve charts.
Custom hardware bottlenecked imaging. A switch to software-defined GPUs now renders photorealistic 3D hearts in real time.