Tag: #embeddings
43 packages โข โญ 51,665 total stars
LLM-powered framework for deep document understanding, semantic retrieval, and context-aware answers using RAG paradigm.
๐ก All-in-one AI framework for semantic search, LLM orchestration and language model workflows
LangChain4j is an open-source Java library that simplifies the integration of LLMs into Java applications through a unified API, providing access to popular LLMs and vector databases. It makes impleme
AutoRAG: An Open-Source Framework for Retrieval-Augmented Generation (RAG) Evaluation & Optimization with AutoML-Style Automation
Memory library for building stateful agents
The open-source RAG platform: built-in citations, deep research, 22+ file formats, partitions, MCP server, and more.
A Markdown-first memory system, a standalone library for any AI agent. Inspired by OpenClaw.
MAGI: Markdown for Agent Guidance & Instruction - A next-generation markdown extension designed specifically for AI systems. MAGI enhances standard markdown with structured metadata, embedded AI instr
RESTai is an AIaaS (AI as a Service) open-source platform. Supports many public and local LLM suported by Ollama/vLLM/etc. Precise embeddings usage, tuning, analytics etc. Built-in image/audio generat
Cognitive memory for AI agents โ FSRS-6 spaced repetition, 29 brain modules, 3D dashboard, single 22MB Rust binary. MCP server for Claude, Cursor, VS Code, Xcode, JetBrains.
Turn AI into a persistent, memory-powered collaborator. Universal MCP Server (supports HTTP, STDIO, and WebSocket) enabling cross-platform AI memory, multi-agent coordination, and context sharing. Bui
A modern desktop application for exploring, managing, and analyzing vector databases
The Go client for Chroma vector database
The AI Operating System for Delphi. 100% native framework with RAG 2.0 for knowledge retrieval, autonomous agents with semantic memory, visual workflow orchestration, and universal LLM connector. Supp
Persistent project knowledge graph for coding agents. MCP server with semantic search, in-process embeddings, and web explorer.
On-device context engine and memory for AI agents. Claude Code, Hermes and OpenClaw. Hooks + MCP server + hybrid RAG search.
Build, deploy, and orchestrate event-driven agents natively on Apache Flinkยฎ and Apache Kafkaยฎ
A lightweight, embeddable vector database library for Go AI projects.
MCP server for semantic search using local Qdrant vector database and OpenAI embeddings
The memory system your AI agent deserves. 4-stage hybrid retrieval โ Vector + BM25 + Knowledge Graph + Neural Reranker โ in <150ms. Self-hosted, $0/query, built for agents that need to actually rememb
The highest-scoring AI memory system ever benchmarked that isn't reliant on LLM reranking. And it's free & burns less tokens.
AI-first, zero-dependency JavaScript database. Vector search, agent memory, MCP server, and encryption built in. Node.js, Bun, Deno, browsers, and edge runtimes.
Personal knowledge graph MCP server on Cloudflare D1 + Vectorize. Deploy your own sovereign second brain in one click โ Claude captures atomic concepts, finds cross-domain analogies, and links them wi
Universal memory layer for AI applications. Self-host in minutes. Open source.
A lock-free, in-memory fuzzy search engine for Kotlin Multiplatform. L2-normalized sparse vector embeddings with O(1) cosine similarity โ handles typos, transpositions, and blind continuation. Zero-al
Local AI server with persistent memory, RAG, and multi-backend inference (MLX / llama.cpp / Ollama). Runs entirely on your machine โ zero data sent to external services.
โก๐พ Vectro โ Compress LLM embeddings ๐ง ๐ Save memory, speed up retrieval, and keep semantic accuracy ๐ฏโจ Lightning-fast quantization for Python + Mojo, vector DB friendly ๐๏ธ, and perfect for RAG pip
๐ค Transform internal knowledge retrieval with a secure, on-premise RAG-powered chatbot that enhances efficiency through natural language queries.
Generic markdown collection MCP server with FTS5 + semantic search, frontmatter-aware indexing, and incremental reindexing
๐ง Transform documentation chaos into a structured memory system with Mnemos, your self-hosted, multi-context knowledge server for developers.
๐ง Enhance AI conversations with Cognio, a persistent memory server that retains context and enables meaningful semantic search across sessions.
Self-hostable RAG platform - document ingestion, embedding, and vector search behind a simple REST API
๐ Build a leading-edge e-commerce recommendation system using RAG architecture, Groq Llama 3, LangChain, and AstraDB, deployed on Kubernetes for scalability.
๐ Enhance retrieval with REFRAG, using micro-chunking and fast indexing for optimized RAG systems that improve efficiency and effectiveness.
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Detect physical hits on your laptop and play audio responses using sensors in a lightweight, cross-platform binary.
Build semantic vector databases from code and docs to enable AI agents to understand and navigate your entire codebase effectively.
๐ค Recommend TV shows by matching favorites, averaging embeddings, and finding similar titles using fuzzy search and vector similarity.
๐ ๏ธ Master 27 AI Agent Skills for effective semantic code search with GrepAI, enhancing installation, configuration, and integration.
๐ Build memory and retrieval infrastructure for ReasonKit, enhancing data management and access for your applications with ease and efficiency.
๐ง Capture and manage your team's knowledge effortlessly with Eywa, ensuring no valuable memory is ever lost.