Viewing profile — zmccormick7

Good to know. I've heard great things about Context7, but haven't experimented with it yet.

As in the download itself didn't happen when you clicked the download button, or the installation failed?

Cool, I hadn't heard of Traycer. That does look quite similar! Completely agree. I basically built Runner to codify the process I was already using manually with Claude Code and Ge…

I agree that's a major problem. It's not something I've solved yet. I suspect a web research sub-agent is likely what's needed, so it can pull in up-to-date docs for whatever libra…

Gemini is required for the context management sub-agent. You can use any of OpenAI, Anthropic, or Gemini for the main planning and coding agents, but GPT-5 performs the best in my …

Now that AI is capable of writing large volumes of production-quality code, our role as developers is changing. Our primary job is no longer writing code. It’s planning and communi…

The main thing we need to add is metadata filtering, as that's required for a lot of use cases. We're also thinking about adding hybrid search support and multi-factor ranking.

We've only done full benchmarking with the FIQA dataset, comparing minDB with Chroma. We're going to try it with Qdrant and Weaviate soon too, since they both have support for quan…

Agreed that thresholds don't work when applied to the cosine similarity of embeddings. But I have found that the similarity score returned by high-quality rerankers, especially Coh…

Agreed. Retrieval performance is very dependent on the quality of the search queries. Letting the LLM generate the search queries is much more reliable than just embedding the user…

I had the same issue when searching for specific companies/products. It feels like a pretty basic vector search with no hybrid search component or reranking.

That should work well with the default parameters, so you shouldn't have to do anything special.

That description is a little vague, so I need to improve that. The use cases we're focused on are ones with 1) dense unstructured text, like legal documents, financial reports, and…

I think the difference is that they're building for end users, not developers.

Agreed. I've gotten a lot of feedback along those lines today, so that's my top priority now.

So the point of AutoContext is so you don't have to do that two-step process of first finding the right document, and then finding the right section of that document. I think it's …

That's a great question. I'll start with a little context: most of the users of our existing hosted platform are no-code/low-code developers who choose us because we're the simples…

I think spRAG should be pretty well suited for that use case. I think the biggest challenge will be generating specific search queries off of more general user inputs. You can look…