pathwaycom/llm-app
Ready-to-run cloud templates for building real-time RAG, AI pipelines, and enterprise search applications that synchronize with various live data sources.
Awesome Infra for AI › Vector Databases & Retrieval Infrastructure
giancarloerra/SocratiCode
SocratiCode is an open-source codebase context engine designed to enhance AI assistants' understanding of complex codebases. It offers deep semantic context through features like hybrid semantic + BM25 search, polyglot dependency graphs, and symbol-level impact analysis across multiple programming languages. The tool integrates with AI agents via plugins for platforms like Claude Code, Cursor, and VS Code Copilot, or as an MCP (Multi-Codebase Proxy) host, providing instant, automated knowledge of code (and infrastructure) without manual configuration. It is built to operate locally and privately using Docker, ensuring data security and privacy while supporting cloud services for embeddings and vector databases if configured. SocratiCode is production-ready, tested on large enterprise repositories with tens of millions of lines of code. It features automatic, resumable indexing with file watching to keep the index updated, and supports multi-branch, multi-repository, and multi-agent operations. By pre-computing complex aspects like blast radius and call-flow, it enables smaller LLMs to tackle architectural tasks that would typically require more advanced reasoning, thereby reducing token costs and API calls. The engine also indexes searchable context artifacts such as database schemas, API specifications, and infrastructure configurations. Its core value lies in providing comprehensive, AI-agnostic code intelligence that resides with the codebase itself, offering significant efficiency improvements over traditional grep-based code exploration.
https://github.com/giancarloerra/SocratiCode
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