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Vera
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Vera

Active·★ 91·MIT·Updated 2026-05-13
★ Trending★ Code Assistant★ RAG / Knowledge Base

Local code search combining BM25, vector similarity, and cross-encoder reranking. Parses 60+ languages with tree-sitter, runs entirely offline, and returns structured results with file paths, line ranges, and symbol metadata. Built in Rust.

Vera is a local-first code search tool that uses BM25, vector search, and cross-encoder reranking. It indexes over 60 languages with tree-sitter and returns structured JSON results. It runs as a single static binary with no external dependencies.

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#bm25
#cli
#code-search
#code-search-engine
#cross-encoder
#embeddings
#local
#mcp
$ Install
$ bunx @vera-ai/cli install && vera setup
↗ Visit site★ GitHub
01

Features

01Model-agnostic, local-first
02Tree-sitter structural parsing
03Structured, code-aware results
04Cross-encoder reranking
05Zero-dependency, single binary
02

Compatibility

Linux x86_64
Linux x86_64
Verified via docs
Linux aarch64
Linux ARM64
Verified via docs
macOS x86_64
macOS x86_64
Verified via docs
macOS aarch64
macOS ARM64
Verified via docs
Windows x86_64
Windows x86_64
Verified via docs
Docker
Docker
Verified via docs
03

Quick start

1
$ bunx @vera-ai/cli install
2
$ vera setup
04

Use cases

↳Semantic code search in large codebases
↳AI agent integration for automated code retrieval
↳Codebase analysis and refactoring support
05

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Related searches

Vera AlternativesBest RAG / Knowledge Base Tools 2026Open Source RAG / Knowledge BaseVera TutorialVera Vs Competitorsbm25clicode-search

Comments

Log in to leave a comment
  • F
    Finley KimMay 20, 2026

    BM25 + vector + cross-encoder reranking combo gives much better code search than pure semantic

  • A
    Alex WilsonMar 20, 2026

    Significant improvement over grep for finding relevant code in large monorepos

  • P
    Phoenix MartinezMar 3, 2026

    Local code search that actually understands the codebase structure, not just text matching

  • R
    Reese ClarkMar 2, 2026

    The hybrid retrieval approach means it handles both keyword and concept queries well

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2w ago
StatusActive
LicenseMIT
CategoryRAG / Knowledge Base
Trend (30d)
+3.6↑ 0.7%
Links
Documentation↗Discussion↗Issues↗Releases↗

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