Similarity search mixed up Q3 and Q4 earnings. Hybrid AI now anchors retrieval with keywords and learns from human fixes instantly.
A US-based software provider enables enterprises to prepare and structure vast amounts of data for large language models and agentic AI workflows.
Data-heavy sectors like law and finance require absolute precision, but standard similarity search often confuses specific details, such as mixing up...
“Organizations often struggle to combine their data in a way that gives LLMs and AI agents the context needed for accurate, reliable results, especially when deploying retrieval augmented generation (RAG) models.”
AI platform for agent memory and context engineering for RAG applications.
Search AI platform for enterprise search, observability, and security solutions.
Related implementations across industries and use cases
Hallucinations capped accuracy at 75%. Hybrid search across 14 million chunks now delivers 90%+ accuracy.
Managing storage consumed engineering bandwidth. Offloading infrastructure let the team focus on algorithms and reach #1 RAG accuracy.
Manual review of sensitive files took two days. AI agents now finish the work in one hour.
Hallucinations capped accuracy at 75%. Hybrid search across 14 million chunks now delivers 90%+ accuracy.
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.
Similarity search mixed up Q3 and Q4 earnings. Hybrid AI now anchors retrieval with keywords and learns from human fixes instantly.
A US-based software provider enables enterprises to prepare and structure vast amounts of data for large language models and agentic AI workflows.
Data-heavy sectors like law and finance require absolute precision, but standard similarity search often confuses specific details, such as mixing up...
“Organizations often struggle to combine their data in a way that gives LLMs and AI agents the context needed for accurate, reliable results, especially when deploying retrieval augmented generation (RAG) models.”
AI platform for agent memory and context engineering for RAG applications.
Search AI platform for enterprise search, observability, and security solutions.
Related implementations across industries and use cases
Hallucinations capped accuracy at 75%. Hybrid search across 14 million chunks now delivers 90%+ accuracy.
Managing storage consumed engineering bandwidth. Offloading infrastructure let the team focus on algorithms and reach #1 RAG accuracy.
Manual review of sensitive files took two days. AI agents now finish the work in one hour.
Hallucinations capped accuracy at 75%. Hybrid search across 14 million chunks now delivers 90%+ accuracy.
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.