2 repository-uri
Importing read-only external data sources to provide factual grounding for AI prompts.
Distinct from External Data Integrations: Distinct from External Data Integrations: specifically focuses on using imported data as read-only context for LLM prompts.
Explore 2 awesome GitHub repositories matching data & databases · Prompt Grounding Attachments. Refine with filters or upvote what's useful.
This project is an AI-powered IDE extension and LLM coding assistant that provides a conversational interface for generating, refactoring, and debugging code. It functions as an AI agent framework and a Model Context Protocol client, connecting AI models to external data sources and tools to automate complex development tasks. The system is distinguished by its use of autonomous AI agents capable of multi-step task execution, including the ability to read files, modify code, and run terminal commands iteratively. It supports recursive agent orchestration through subagent delegation and employ
Imports read-only resources like database tables or API responses to provide factual grounding for AI prompts.
BAML is a prompt engineering framework and LLM client generator that defines AI prompts as type-safe functions. It serves as a structured data extraction tool and workflow orchestrator, transforming unstructured model responses into strongly typed objects using a custom schema language and alignment algorithms. The project distinguishes itself by using a compiler to generate language-specific boilerplate code for API communication and output parsing. It features a dedicated environment for designing complex prompt templates with conditional logic and reusable snippets, and employs genetic alg
Integrates external knowledge sources into prompts to improve accuracy and prevent hallucinations.