@salesforce showed a dummy webapp at @Dreamforce, claiming @AnthropicAI built it. Demos forget: apps need real infrastructure, not pretty HTML.
See it live: a production-ready Salesforce app, built on Corvic. π https://t.co/btGwcE0Hcv
Side note: we used @grok (cc: @elonmusk)
Context vs Memory: Whatβs the difference? π€
Context = what an agent can see at any point in time. Windows cap at 1-4M tokens.
memory = a persistent layer the agent pulls from. Unlimited in theory.
See Corvic in action: https://t.co/ZTqDj15tK9
#CorvicAI#AIAgents
What if you could turn your data into a startup? π
Corvic Live Apps: deployed, live, auto-refreshing. Ask Planet Pulse which hazards hit hardest this week and it checks every feed and ranks them.
See Corvic in action: https://t.co/ZTqDj15tK9
#CorvicAI#LiveApps
What does everyone underestimate about deploying graphs? π€
Itβs not the infrastructure, itβs whether the data model actually matches your industry and use case.
See Corvic in action: https://t.co/F3taosYuDn π
#CorvicAI#KnowledgeGraph#AIAgents
GraphRAG works on a few docs. At millions of files, you get no control over extraction, no expert in the loop, and a token bill that can bankrupt you.
Try Corvic at https://t.co/F3taosXWNP
#GraphRAG#AI#LLM
Set it once. It runs every morning. β°
Corvic AI's Data Pipelines turn "pull the numbers and clean them" into a scheduled, repeatable pipeline, every step handing off a real table you can see.
See Corvic in action: https://t.co/F3taosYuDn π
#CorvicAI#DataPipelines#AIAgents
In the spirit of slowing down π
@claudeai Sonnet 5.5, @OpenAI GPT Sol 6, and @grok 4.7 are live on @corvicai.
The nice part about not picking a winner: when the next one ships, you just switch.
Try for free: https://t.co/3OgQVwUDC1
Generic OCR doesn't know your business rules β and "accuracy" means something different in every domain.
Corvic AI lets you encode that logic directly.
Invoice extraction, benchmarked vs. Extend, Reducto, LlamaIndex, Copilot: https://t.co/OTcAcR0YNY
Same data, different results. β‘
20 PubMed articles through Neo4j and Corvic AI side by side. Neo4j's import failed at 3/20 docs. Corvic built a full graph: 2,693 entities, 1,556 relationships.
See Corvic in action: https://t.co/F3taosXWNP π
#CorvicAI#Neo4j#KnowledgeGraph
Week of Knowledge Graphs β Day 3
The Manufacturing Operations Graph (ISA-95) :
https://t.co/x6Wqp6BsXm
See how easy it is to build and explore manufacturing knowledge graphs with Corvic AI:
#manufacturing#KnowledgeGraphs#Agentic#ISA95
Week of Knowledge Graphs β Day 2
The Capitol Trade Graph:
https://t.co/BUwusVvEnY
See who in Washington trades what and find interesting pattern using Knowledge Graphs.
Can AI handle 100 PubMed papers? π§¬
Claude capped at 20 attachments. Neo4j rejected the batch outright. Corvic AI ingested all 100 and built a full knowledge graph: 8,061 entities, 3,504 relationships.
See Corvic in action: https://t.co/F3taosXWNP π
#CorvicAI#Neo4j#Claude
Week of Knowledge Graphs:
7 days, 7 knowledge graphs β each built from one prompt, across a different domain, hosted on Corvic AI.
Day 1: Biomedical BioEntities KG https://t.co/GqZKDlcxkM
Full post: https://t.co/X1rJHtmXvK
@sophiamyang This is pretty close to what weβve been building at @corvicai. The interesting part isnβt just routing between models, but carrying the context/state of the work across handoffs so the next model can actually pick up where the previous one left off.
Same Claude, more context. β¨
Corvic AI connects Claude directly to Snowflake, AWS, Databricks, and more, building a knowledge graph so every answer is grounded in your real data.
See Corvic in action: https://t.co/F3taosXWNP π
#CorvicAI#Claude#AIAgents#EnterpriseAI