Hello, I'm Rijul, and I'm building LiveReview — a blast-radius aware AI code review built for your business-critical systems. Star us to help devs discover the project, give it a try, and share your feedback to help improve the product.
If you are familiar with RAGs, you know its usual flow. Split the document into chunks, convert each chunk into a vector embedding, store them in a vector database, and retrieve the chunk most similar to the query.
But this approach has some blind spots.
So, to address some of these issues, there is a concept called Vectorless RAG.
The RAG we see works well for many use cases.
But basic chunk-based RAG can break down on long, structured, or reasoning-heavy documents.
A few pain points are:
Fragmented context
Similarity isn't relevance
Opaque retrieval
Vectorless RAG can replace similarity-based retrieval with structure and reasoning. Rather than flattening a document into chunks and vectors, some approaches treat the document as a hierarchy, closer to a textbook with a table of contents than a bag of disconnected paragraphs.
Traditional RAG works well for many use cases, but it can have limitations when dealing with long and structured documents.
Vectorless RAG takes a different approach by using the structure of the document to navigate and retrieve relevant information.
It doesn't necessarily mean that vector search needs to be completely replaced. Depending on the use case, both approaches can work together, with each being useful for different types of data and retrieval needs.
Your team's attention is limited, and the deluge of AI-generated code is making it harder to keep production reliable and secure without slowing you down.
I'm building LiveReview, a blast-radius aware AI code review built for your business-critical systems.
Instead of presenting every diff with equal emphasis, LiveReview scores each change by blast radius — how far its impact reaches through your call graph — so you can focus attention where it actually matters.
Spend code review effort where business risk is highest — not spread evenly across every diff.
⭐ Star it on GitHub:
LiveReview is an AI code reviewer that scores every hunk of a diff by blast radius: how far a change reaches through your call graph, how much persistent state it touches, and how well-tested it is. A 3-line change to a shared auth check can outrank a 300-line UI tweak. Your team's attention goes to the highest-risk code first, not spread evenly across every diff.
LiveReview's Blast Radius & Review Priority scoring, live in the diff viewer.
| The exact math, not a black box | Visualize blast radius at a glance | Every factor that feeds the score |
|---|---|---| Here's the goal:
Click below to try LiveReview with your codebase: