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Showing 1–12 of 12 for LLM RAG

Docs RAG

Enables AI to query and analyze local documents and Git repositories through a RAG system built with TypeScript, LlamaIndex, and Gemini embeddings.

PDF Search

Built for Zed to enable semantic searching of PDF documents using a Qdrant vector database and OpenAI embeddings.

LM Studio

Bridges Claude with locally running LLM models via LM Studio, enabling users to leverage private models through Claude's interface while maintaining local…

Firebase

Enables Firebase Authentication, Firestore, and Storage operations for developers building applications that require seamless backend service integration.

Binary Ninja

Integrates with Binary Ninja reverse engineering platform to enable binary analysis tasks like function listing, code decompilation, symbol renaming, and…

OpenAI MCP

Provides a high-performance bridge between OpenAI and Anthropic models with prompt templating, response streaming, and efficient caching for applications…

Toolbox

Integrates with external APIs and services to provide command execution, Figma file interaction, and file operations, enhancing LLM capabilities for UI/UX…

Gel Database

Integrates with Gel databases to enable automated schema discovery, query validation, and execution of EdgeQL and TypeScript queries for database interactions…

Stack Exchange

Provides a bridge to Stack Exchange sites for searching and retrieving questions, answers, and tags with efficient caching and rate limiting for seamless…

BSC Blockchain

Integrates with the Binance Smart Chain blockchain to enable real-time data retrieval, transaction analysis, wallet monitoring, and custom token creation…