Summary：Exciting New Repolens-Search Tool Now Available on PyPI for Developers **Introduction** Developers

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Exciting New Repolens-Search Tool Now Available on PyPI for Developers

**Introduction**
Developers constantly juggle massive codebases, scattered documentation, and hidden data files that escape standard version‑control visibility. Locating the right snippet or configuration often feels like a game of chance, especially when reliance on plain‑text grep yields noisy results. A fresh solution has landed on the Python Package Index that promises to turn this hit‑or‑miss process into a precise, ranked lookup experience.

**Key Developments**
Repolens‑Search introduces a hybrid indexing engine that blends BM25 term‑frequency scoring with dense vector embeddings, delivering results that honor both exact keyword matches and contextual similarity. The tool indexes not only source files and markdown docs but also data assets, configuration files, and even content deliberately excluded by .gitignore, ensuring nothing remains invisible to the search layer.

A companion typed corpus linter runs alongside the indexer, validating that each document adheres to predefined schema expectations—think of it as a lightweight type‑checker for textual assets. When a developer invokes the grep‑on‑demand agent, Repolens‑Search returns a ranked list, complete with short descriptions that explain why each hit surfaced, reducing the cognitive load of sifting through raw matches.

Installation is straightforward: `pip install repolens-search`. After a one‑time indexing pass (`repolens index .`), queries are