2 repository-uri
Awesome GitHub RepositoriesRAG Context Pruning
The process of managing and removing irrelevant segments from retrieved documents before injection into the context window.
Distinct from Context Window Optimizations: Distinct from general context window optimization as it specifically targets the pruning of retrieved RAG documents.
Explore 2 awesome GitHub repositories matching artificial intelligence & ml · RAG Context Pruning. Refine with filters or upvote what's useful.
Awesome RAG Context Pruning GitHub Repositories
Găsește cele mai bune repo-uri cu AI.Vom căuta cele mai potrivite repository-uri folosind AI.
- davidkimai/context-engineering
davidkimai/Context-Engineering
8,431Vezi pe GitHubContext-Engineering is a prompt engineering framework and cognitive architecture for large language models. It provides a set of patterns and methodologies for designing structured prompts and modular reasoning flows that decompose complex tasks into specialized, step-by-step problem solving templates. The project distinguishes itself through stateful prompt management and context window optimization. It maintains persistent memory across multiple interaction turns by compressing conversation history into compact internal state cells and employs techniques to maximize information density per
Manages and prunes retrieved documents to reduce hallucinations and optimize token consumption in RAG pipelines.
Python - nvidia-nemo/guardrails
NVIDIA-NeMo/Guardrails
5,680Vezi pe GitHubInspects and filters retrieved chunks before they are used to prompt an LLM in RAG pipelines.
Pythonagentsgenerative-aiguardrails
