2 个仓库
Methods for structuring knowledge as interconnected nodes and relationships to improve semantic retrieval.
Distinguishing note: Focuses on graph-based semantic structures rather than flat vector embeddings.
Explore 2 awesome GitHub repositories matching artificial intelligence & ml · Graph Knowledge Indexing. Refine with filters or upvote what's useful.
DeepCode is an agentic development framework designed to orchestrate autonomous AI agents for software engineering tasks. It functions as a multi-agent workflow orchestrator that translates natural language requirements into functional codebases by coordinating specialized agents for architectural planning, intent analysis, and implementation. The platform integrates multiple language models to power these automated routines, providing a unified environment for complex development projects. The system distinguishes itself through its ability to transform academic research papers into executab
Structures repository knowledge as interconnected nodes and relationships to improve semantic retrieval for code generation.
This project is a retrieval augmented generation framework designed to build pipelines that connect unstructured data and knowledge graphs with large language models. It functions as a vector database orchestrator for indexing text and multimodal content, as well as a system for translating natural language queries into structured database commands. The framework integrates a hybrid retrieval engine that combines dense vector search with sparse keyword matching to increase the precision of retrieved contexts. It further enhances reasoning and relationship mapping through a graph-augmented ret
Structures knowledge as interconnected nodes and relationships to improve reasoning and semantic retrieval.