Insights, guides, and tips to help you choose the right tools for your business.
A practical, no-drama guide to migrating between AI search and RAG tools. Export embeddings, swap APIs, minimize downtime, and keep your team sane through the transition.
A no-fluff breakdown of Pinecone's pricing tiers, hidden costs, and whether it actually makes sense for cash-strapped AI startups in 2026.
Pinecone and Weaviate dominate the vector database conversation for LLM apps, but they take wildly different approaches. Here is which one wins for your stack, your team, and your budget.
Pinecone has quietly become the default choice for teams shipping serious retrieval-augmented generation systems. Here's an honest look at why it keeps winning when the stakes are real, and where its competitors still make sense.
Consensus searches 200M+ peer-reviewed papers and shows you what the science actually says. Here's why PhD students are ditching Google Scholar for it.
I spent two weeks using Consensus.app the way a working clinician actually reads research: between patients, after rounds, and at midnight before a journal club. Here is what holds up, what does not, and where it changes how you read studies.
Consensus and Elicit both promise to slash literature review time, but they win at different things. Here's an honest, side-by-side breakdown of which AI research tool fits your workflow.
Enterprise RAG isn't about which vector database has the coolest demo. It's about security, compliance, permissions, and whether the thing actually works at 10 million documents.
A practical guide to AI search and retrieval-augmented generation in 2026. What RAG actually is, why it matters, how vector databases work, and which tools to consider.