Millions of requests choked self-hosted search. Hybrid vector search now powers 10k daily AI tasks with 40% higher accuracy.
A real estate technology platform trusted by over 350 firms to automate complex closing workflows involving millions of pages of documentation per month.
Processing comprehensive real estate documentation spanning thousands of pages exceeded the context windows of standard LLMs. Their self-hosted...
“We were facing latency issues and scaling challenges with our previous solutions. When traffic spiked with millions of customer requests, our self-hosted infrastructure couldn't keep up, and document retrieval was taking too long.”
AI-powered platform for automating real estate transactions and document workflows.
Vector database platform for building and scaling AI applications.
Rexera's Real estate transaction automation is part of this use case:
Related implementations across industries and use cases
Similarity search mixed up Q3 and Q4 earnings. Hybrid AI now anchors retrieval with keywords and learns from human fixes instantly.
Handwritten notes on contracts forced manual entry. AI now extracts data 80% faster, cutting data collection costs by 50%.
Remote work trapped data in silos. AI now indexes 138M docs, enabling agents to draft reviews and build incident timelines.
Manually classifying 10M media signals took 12 weeks. Now, AI agents automatically extract and match unstructured metadata to entities.
Legacy systems choked on 1,000-page medical files. AI now converts handwritten notes and 1970s scans into structured data.
Human sales teams clock out; buyers don't. Voice agents, accent-matched by region, now qualify and book site visits around the clock.
Surging delinquency burdened staff. Now, an AI assistant handles routine collections, freeing teams for high-touch, in-person engagement.
Scattered AI tools and manual document searches slowed engineers. Now, a unified AI rapidly retrieves specialized technical answers.
Querying Wikidata required specialized syntax, locking out most AI systems. Vector search now lets LLMs navigate 100M+ entities in plain language.
Millions of requests choked self-hosted search. Hybrid vector search now powers 10k daily AI tasks with 40% higher accuracy.
A real estate technology platform trusted by over 350 firms to automate complex closing workflows involving millions of pages of documentation per month.
Processing comprehensive real estate documentation spanning thousands of pages exceeded the context windows of standard LLMs. Their self-hosted...
“We were facing latency issues and scaling challenges with our previous solutions. When traffic spiked with millions of customer requests, our self-hosted infrastructure couldn't keep up, and document retrieval was taking too long.”
AI-powered platform for automating real estate transactions and document workflows.
Vector database platform for building and scaling AI applications.
Rexera's Real estate transaction automation is part of this use case:
Related implementations across industries and use cases
Similarity search mixed up Q3 and Q4 earnings. Hybrid AI now anchors retrieval with keywords and learns from human fixes instantly.
Handwritten notes on contracts forced manual entry. AI now extracts data 80% faster, cutting data collection costs by 50%.
Remote work trapped data in silos. AI now indexes 138M docs, enabling agents to draft reviews and build incident timelines.
Manually classifying 10M media signals took 12 weeks. Now, AI agents automatically extract and match unstructured metadata to entities.
Legacy systems choked on 1,000-page medical files. AI now converts handwritten notes and 1970s scans into structured data.
Human sales teams clock out; buyers don't. Voice agents, accent-matched by region, now qualify and book site visits around the clock.
Surging delinquency burdened staff. Now, an AI assistant handles routine collections, freeing teams for high-touch, in-person engagement.
Scattered AI tools and manual document searches slowed engineers. Now, a unified AI rapidly retrieves specialized technical answers.
Querying Wikidata required specialized syntax, locking out most AI systems. Vector search now lets LLMs navigate 100M+ entities in plain language.