Get relevant project context for AI agents to save 90% of tokens. Lightweight CLI tool for semantic search on project codebases.
Persistent RAG layer for Claude Code sessions
A rag component for Convex.
A powerful, multimodal RAG engine with contextual retrieval, auto-prompt discovery, and PostgreSQL-native vector search
A agent component for Convex.
A a collection of languages stemmers and stopwords for Lunr Javascript library
> LlamaCloud is a new generation of managed parsing, ingestion, and retrieval services, designed to bring production-grade context-augmentation to your LLM and RAG applications.
The Retrieval-Augmented Generation (RAG) module contains document processing and embedding utilities.
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Declare LLM prompts with TSX
RAG (Retrieval-Augmented Generation) utilities for Wundr platform - embeddings, chunking, and vector operations
This is an internal utility, not intended for public usage.
View docs [here](https://radix-ui.com/primitives/docs/components/context-menu).
A JavaScript library for Retrieval-Augmented Generation (RAG) within the QVAC ecosystem. Build powerful, context-aware AI applications with seamless document ingestion, vector search, and LLM integration.
OpenTelemetry AsyncLocalStorage-based Context Manager
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AI context and rules sync CLI for Claude.md, Claude Code, Cursor, and Copilot instructions, with privacy-safe context receipts that prove what memory, tools, skills, compactions, and security findings crossed agent boundaries without logging raw content.
Phase 2 of the catalog plane. Adds vector embeddings, AI-agent access patterns, and the MCP server scaffolding on top of the Phase 1 foundation in `@voyantjs/catalog`.
Phase 2.x — MCP (Model Context Protocol) server scaffolding for the catalog plane. Wraps the catalog plane's APIs as agent-callable tools so AI assistants (Claude, ChatGPT plugins, custom agents) connect with tenant-scoped credentials and call tools rathe
Command-line interface for vibe-agent-toolkit
Offline HTTP RAG (Retrieval-Augmented Generation) server for the Red Sift Design System — returns ranked, scored documentation chunks for any LLM/agent to consume.
Provide context info for eslint-plugin-import-x, so no extra arguments need to be added.
A flexible way to handle safe area, also works on Android and web.
Measures quality metrics like faithfulness, relevance, context precision, and answer correctness for LLM and RAG applications. Think Ragas or DeepEval for Ruby.
HTM (Hierarchical Temporal Memory) provides intelligent memory/context management for LLM-based applications. It implements a two-tier memory system with durable long-term storage (PostgreSQL) and token-limited working memory, enabling applications to recall context from past conversations using RAG (Retrieval-Augmented Generation) techniques.
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