KINDX - On-device hybrid search engine for markdown documents with BM25, vector embeddings, and LLM reranking

Vector embeddings and semantic search for the Forge Framework.

TypeScript library with RAG primitives for vector embeddings, chunking, storing and retrieval.

Astrivya Knowledge Graph engine — SQLite-embedded, FTS5, vector embeddings, graph traversal, impact analysis, 3-way merge sync

Local semantic search CLI — write, search, and delete text with vector embeddings, no backend required.

In-memory vector embeddings database using embeddings for efficient querying text documents

E-commerce RAG plugin for SnapAgent SDK - Product search with vector embeddings

Engineering intelligence for AI coding agents: indexes a codebase into symbols, a relationship graph and vector embeddings, and serves it over MCP

CLI for semantic code search. It uses vector embeddings to understand code meaning, enabling natural language queries that find relevant code—even when naming conventions vary.

Strapi v5 plugin for vector embeddings with OpenAI and Neon PostgreSQL. Enables semantic search, RAG chat, and MCP (Model Context Protocol) integration.

AI-powered semantic search over RDF knowledge graphs using vector embeddings

Node.js wrapper for EmbeddingGemma — local vector embeddings for semantic search

Distance Comparison Preserving Encryption for secure searchable vector embeddings

Local Knowledge RAG MCP Server - Semantic search and retrieval for local documents using vector embeddings

SAP Fiori documentation indexing

Markdown Text Chunker for RAG — High and growing developer search intent for client-side RAG preprocessing tools as engineers optimize Markdown context retrieval for LLM vector embeddings.

A powerful memory stack for AI applications with vector embeddings

Semantic feature extraction and code integration using vector embeddings - language-agnostic CLI tool

Workspace memory with FTS5 search and vector embeddings

A fast CLI tool for semantic file search using vector embeddings