by winfunc · Agent Tool · ★ 163
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🥦🔎 Blockoli is a high-performance tool for code indexing, embedding generation and semantic search tool for use with LLMs. blockoli is built in Rust and uses the ASTerisk crate for semantic code parsing. blockoli allows you to efficiently index, store, and search code blocks and their embeddings using vector similarity. Features Index code blocks from a codebase 📂🔍 Generate vector embeddings for code blocks using a pre-trained model 🤖🧠 Store code blocks and their embeddings in a SQLite database (Support for Qdrant soon!) 💾🗄️ Perform efficient similarity search on code blocks using vector embeddings (k-d tree algorithm) 🔎⚡ REST API for easy integration with other tools and platforms 🌐🔗 Fast and memory-efficient implementation using Rust ⚡💻 Installation (from source) Ensure you have Rust installed on your system. You can install it from the official Rust website: https://www.rust-lang.org/tools/install Clone the blockoli repository: Download grammar files Build the project: Run the server: Replace with the desired port number for the server. Usage
| Stars | 163 |
| Forks | 21 |
| Language | Rust |
| Category | Agent Tool |
| License | MIT |
| Quality Score | 34.75/100 |
| Open Issues | 1 |
| Last Updated | 2024-04-19 |
| Created | 2024-03-19 |
| Platforms | rust |
| Est. Tokens | ~35k |
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blockoli is Blockoli is a high-performance tool for code indexing, embedding generation and semantic search tool for use with LLMs.. It is categorized as a Agent Tool with 163 GitHub stars.
blockoli is primarily written in Rust.
You can find installation instructions and usage details in the blockoli GitHub repository at github.com/winfunc/blockoli. The project has 163 stars and 21 forks, indicating an active community.
blockoli is released under the MIT license, making it free to use and modify according to the license terms.
The top alternatives to blockoli on Agent Skills Hub include claude-forge, excalidraw-diagram-skill, agent-skills. Each offers a different approach to the same problem space — compare them side-by-side by stars, quality score, and community activity.