Long-document search with Jev and PageIndex
Star History
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+10
STARS · LAST 30 DAYS
1
PER DAY
#1,792
MOST-STARRED Python
| Window | 7 days | 30 days | 90 days |
|---|---|---|---|
| Stars gained | +7 | +10 | +90 |
| Per day | 1 | 1 | 1 |
| Forks gained | +1 | +3 | +10 |
jev-doc-search gained 10 stars in the last 30 days, about 1 a day, and now has 100. It is about 1 year old and has averaged roughly 100 stars a year. It ranks #1,792 among Python repositories and #13,824 across all languages on GitHubRepo.
Trending Record
3
DAYS ON TRENDING
#2663
BEST RANK
Oct 5, 2026
FIRST APPEARANCE
Active
STATUS TODAY
jev-doc-search has maintained a continuous presence across global trending indexes, peaking at #2663. Below is the 30-day activity profile:
💡 Overview
jev-doc-search is an open-source project written in Python: Long-document search with Jev and PageIndex.
Engineered for speed, consistency, and developer ease, it solves common hurdles in rag, search. It provides clear interfaces, comprehensive configuration options, and seamless integration with existing tools across the modern development stack.
⚡ Key Features
Optimized execution pipeline written in Python for predictable speed.
Zero-friction configuration with comprehensive sensible defaults out of the box.
Cross-platform runtime support across Linux, macOS, and Windows environments.
Strong typing and modular architecture designed for easy extension and maintainability.
Standardized CLI and API interfaces for smooth integration into CI/CD workflows.
Active community maintenance with regular dependency updates and security patches.
📥 Installation
$ pip install jev-doc-search⚙ System Requirements
Platforms
- • macOS
- • Linux
- • Windows
Runtime & Dependencies
Python >= 3.9, pip, virtualenv
Architecture
x86_64, ARM64 (Apple Silicon & Graviton)
🧠 How It Works
jev-doc-search coordinates its core functionality through a modular Python pipeline. It parses configuration parameters, validates inputs, and resolves dependencies asynchronously. By minimizing runtime overhead and keeping allocations localized, it delivers predictable performance in both local development environments and automated production workloads.
🎯 Production Use Cases
Production System Integration
Embed jev-doc-search into Python backend services to handle core application logic.
CI/CD Automated Pipelines
Run automated validation, builds, and integration suites during deployments.
Developer Tooling & Workflows
Accelerate developer onboarding with pre-configured project utilities.
Open Source Extension
Fork and customize internal modules under the repository's open Apache-2.0 license.
🚀 Getting Started
Install jev-doc-search using your package manager: `pip install jev-doc-search`
Initialize your project workspace or configuration file for jev-doc-search.
Import jev-doc-search into your codebase or invoke it directly from your terminal.
Execute your test suite or run `jev-doc-search --help` to verify successful setup.
👍 Strengths
⚠️ Considerations
⇄ Alternatives & Direct Competitors
👥 Who Should Use This
Developers and engineering teams building with Python, seeking reliable, tested, and actively maintained tooling for production workloads.
🏆 Nearby in the Rankings
VectifyAI/jev-doc-search is currently ranked #13,824 by stars across every repository tracked on GitHubRepo. These are adjacent projects:
| Rank | Repository | Language | Stars | Action |
|---|---|---|---|---|
| #13,766 | yob/em-ftpd | Ruby | ★ 101 | Compare ↗ |
| #13,766 | romanbsd/fast-stemmer | Ruby | ★ 101 | Compare ↗ |
| #13,766 | jlong/radius | Ruby | ★ 101 | Compare ↗ |
| #13,766 | basecamp/cached_externals | Ruby | ★ 101 | Compare ↗ |
| #13,766 | 0xSero/dsv41-flash-offload | Python | ★ 101 | Compare ↗ |
| #13,824 | VectifyAI/jev-doc-search This Project | Python | ★ 100 | |
| #13,824 | azbigboss66-oss/skillfoo-v3 | TypeScript | ★ 100 | Compare ↗ |
| #13,824 | jackwener/opencli-mcp | TypeScript | ★ 100 | Compare ↗ |
| #13,824 | rasonyang/freesbc | Go | ★ 100 | Compare ↗ |
| #13,824 | masumedb/masume | Go | ★ 100 | Compare ↗ |
| #13,824 | IvenKooLab/loci | Python | ★ 100 | Compare ↗ |
Frequently Asked Questions
What does jev-doc-search do? +
Long-document search with Jev and PageIndex
What language is jev-doc-search written in? +
The primary language is Python. Topics include: rag, search.
Is jev-doc-search actively maintained? +
Yes, the last recorded push was on Oct 3, 2026 with 0 open issues being tracked.
How many stars does jev-doc-search have? +
jev-doc-search has 100 stars and 4 forks on GitHub.
How does jev-doc-search rank among GitHub repositories? +
With 100 stars, VectifyAI/jev-doc-search is ranked #13,824 globally across all repositories tracked on GitHubRepo and #1,792 among Python projects.
What license is jev-doc-search distributed under? +
The repository reports a Apache-2.0 license. Always verify the repository LICENSE file for legal terms.
