Gather and collect Web3 data with W3Nectar Gatherer, offering data retrieval and aggregation capabilities.

Production-grade, modular RAG engine for nestjs-agentic with advanced built-in strategies (Query Expansion, Hierarchical RAG, Late Chunking, Parent-Child Hydration, Contextual Compression, and Knowledge Graph RAG).

Various implementations of LangChain.js text splitters

A TypeScript/JavaScript client library for interacting with the Robinhood Crypto API. This library provides a clean interface for crypto trading operations, market data retrieval, and account management.

Lightweight, extensible Node.js library for evaluating Retrieval-Augmented Generation (RAG) systems

A PubSub Listener for configuring and using Flatfile

Azure client library to use AI Search for node.js and browser.

This library provides a set of hooks for data fetching using React Query. It is designed to be easily integrated into React applications, allowing for efficient data retrieval and caching mechanisms.

Local-first MCP 2.0 server for persistent, evidence-backed project knowledge and task context

Headless retrieval engine for remember — indexing, hybrid search, ranking, HTTP API, and CLI.

No description provided.

Read-side runtime data tier for Memorix: inventory, lists, items, slices, graph, and health

Used to annotate a class as a "model," adding metadata and a custom toJSON method. This method serializes the instance into JSON format, including fields marked with specific metadata. Associates the model with metadata (IModelOptions) using reflection, a

A NodeJS RAG framework to easily work with LLMs and custom datasets

Keep your AI agent context small and cheap by managing tool bloat and large outputs.

Core functionality for odata2ts HTTP clients

A simple conf config file reader. This package will convert a conf file into a basic JSON object for easy data retrieval.

Core indexing and retrieval engine for Satori's codebase map.

Metaplayer worker framework for offchain-read, a secure protocol for offchain data retrieval

Noir context — SHA-256 incremental indexer and hybrid retrieval (BM25 + vector kNN + Reciprocal Rank Fusion).