RAG & embeddings

Vector stores, embeddings, and retrieval-augmented generation pipelines. 271 passende Einträge im Forge-Registry — angezeigt werden die obersten 150.

• thedotmack/claude-memPersistent Context Across Sessions for Every Agent – Captures everything your agent does during sessions, com
• ruvnet/ruflo🌊 The leading agent meta-harness for Claude. Deploy intelligent multi-agent swarms, coordinate autonomous wor
• chopratejas/headroomCompress tool outputs, logs, files, and RAG chunks before they reach the LLM. 60-95% fewer tokens, same answer
• 1Panel-dev/MaxKB🔥 MaxKB is an open-source platform for building enterprise-grade agents. 强大易用的开源企业级智能体平台。
• topoteretes/cogneeCognee is the open-source AI memory platform for agents. Give your AI agents persistent long-term memory acros
• Upsonic/UpsonicBuild autonomous AI agents in Python.
• the-open-agent/openagent⚡️next-generation personal AI assistant powered by LLM, RAG and agent loops, supporting computer-use, browser-
• MinishLab/sembleFast and Accurate Code Search for Agents. Uses ~98% fewer tokens than grep+read
• socraticodeSocratiCode — MCP server for local codebase indexing, semantic search, and code dependency graphs. All private
• WenyuChiou/awesome-agentic-ai-zhA trilingual (繁中 / English / 简中) learning roadmap for agentic AI: from LLM basics to multi-agent systems, with
• genieincodebottle/generative-aiComprehensive resources on Generative AI, including a detailed roadmap, projects, use cases, interview prepara
• agentset-ai/agentsetThe open-source RAG platform: built-in citations, deep research, 22+ file formats, partitions, MCP server, and
• chrisryugj/korean-law-mcp국가법령정보MCP v4.4 | 법제처 42개 API → 9개 MCP 도구. 법령·판례·조례·조약 + 다단계 리서치(legal_research) + 정밀분석(legal_analysis: 인용검증·판례
• doobidoo/mcp-memory-serviceOpen-source persistent memory for AI agent pipelines (LangGraph, CrewAI, AutoGen) and Claude. REST API + knowl
• MicrosoftDocs/mcpOfficial Microsoft Learn MCP Server and CLI tool – powering LLMs and AI agents with real-time, trusted Microso
• qdrant/mcp-server-qdrantAn official Qdrant Model Context Protocol (MCP) server implementation
• trpc-group/trpc-agent-goA Go framework for building production agent systems with graph workflows, tools, memory, A2A, AG-UI, MCP, eva
• study8677/antigravity-workspace-templateMulti-agent knowledge engine (ag-refresh / ag-ask) that turns any codebase into a queryable AI assistant.Works
• Dataojitori/nocturne_memoryA lightweight, rollbackable, and visual Long-Term Memory Server for MCP Agents. Say goodbye to Vector RAG and
• dmayboroda/minimaOn-premises conversational RAG with configurable containers
• nduckmink/arkonArkon: Enterprise AI Knowledge Hub & MCP Server. Self-hosted knowledge base for teams to manage RAG contexts,
• jerry-ai-dev/MODULAR-RAG-MCP-SERVERA modular RAG (Retrieval-Augmented Generation) system with MCP Server architecture. Using Skill to make AI fol
• mcp-local-ragEasy-to-setup local RAG server with minimal configuration
• elastic/mcp-server-elasticsearchOfficial Elastic MCP server for interacting with Elasticsearch clusters
• haiku-ragLocal-first agentic RAG with citations - hybrid search, reranking, multimodal document retrieval
• io.github.ggozad/haiku-ragOpinionated agentic RAG powered by LanceDB, Pydantic AI, and Docling
• AmeNetwork/aserAser is a lightweight, self-assembling AI Agent frame.
• osovv/grace-marketplace GRACE (Graph-RAG Anchored Code Engineering): open Agent Skills for contract-driven AI code generation with se
• AgentToolkit/altk-evolveSelf improving agents through iterations
• RubensZimbres/Multi-Agent-System-A2A-ADK-MCPMulti-Agent Systems with Google's Agent Development Kit + A2A + MCP
• @bigapi/mcpMCP server for bigapi.dev - the output layer for AI agents: turn what an agent produced into a finished file,
• @stratta/mcpMCP server exposing the engineering norms your firm is licensed for (SIA / Eurocodes) to any MCP client, via S
• codeseekerGraph-powered code intelligence for Claude Code. Semantic search + knowledge graph for better AI code understa
• io.github.msjsc001/omniclip-rag-mcpRead-only local-first MCP server for private Markdown, PDF, and Tika-backed search on Windows.
• opedd-mcpLicensed, rights-cleared content for AI agents — verifiable license keys, on-chain proof, and EU AI Act attest
• CrewForm/crewformBuild your AI team with Crewform. Orchestrate specialized, autonomous agents to collaborate on complex tasks a
• redhat-community-ai-tools/UnifAIProduction-grade multi-agent orchestration engine. Compose agentic workflows from a pluggable catalog of Agent
• @pulsemcp/svg-tracer-mcp-serverMCP server for converting bitmap images to SVG vector graphics using potrace tracing
• tokonomix-council-mcpMulti-model + multi-judge consensus over MCP for Claude Code, Cursor, Cline, Continue & Zed — ask 2–6 frontier
• @enconvert/mcpWeb and file reading for AI agents with a 0-1 render_quality score on every read. MCP server for EnConvert: pe
• @rag-rat/binRepository intelligence, code graph, history, papertrail, and cross-agent memory for coding agents.
• freshcontext-mcpContext integrity infrastructure for AI agents and retrieval systems. Score, explain, and wrap candidate conte
• neuromcpSemantic memory for AI agents — local-first MCP server with hybrid search, governance, and consolidation
• datasinking-mcpMCP server for DataSinking — full-text Asian financial reports (China, Korea, Japan, Taiwan) as clean Markdown
• mcp-ariel-memoryUniversal Two-Layer Memory MCP Server for AI agents (npm wrapper)
• aifp-mcpAiFP Cognitive Memory — persistent memory MCP server for AI assistants. Chinese-first retrieval with causal ch
• deep-research-mcp-serverMCP server that gives Claude, Cursor, or any AI agent web search, clean page reading, and one-call research do
• @marsnme/mcp-gatewayAgent-agnostic, LLM-agnostic memory backend for MCP-compatible tools
• @ethora/mcp-serverMCP server for the Ethora chat & messaging platform: login, manage apps and chat rooms, broadcast messages, an
• @marcelo-ochoa/server-oracleAn MCP server for Oracle databases.
• elbruno/ElBruno.ModelContextProtocolSemantic routing for MCP tools - .NET library that indexes MCP tool definitions and returns the most relevant
• rippr-mcpMCP server for ripping YouTube transcripts. Saves each transcript to disk and returns a resource link — persis
• @calypsohq/multimodal-rag-mcp-serverMCP server for Calypso (AIcore) agents via OpenAI-compatible API.
• @mrfentmen/meilisearch-mcpMCP server for MeiliSearch. Search indexes, manage documents, check health and stats.
• @mukundakatta/ragmetric-mcpMCP server for RAG retrieval evaluation metrics: Recall@k, Hit@k, MRR, NDCG@k. Helps LLMs score retrieval qual
• replicate-mcp-serverUniversal MCP server giving any MCP client (Claude Desktop, claude.ai, Cursor, Cline, custom apps) native acce
• @mukundakatta/ragdrift-mcpMCP server for RAG drift diagnostics. Interpret drift scores, recommend thresholds, and explain the five drift
• @infoinlet/mcp-qdrantRead-only Qdrant (vector DB) access for AI agents — list collections, collection info/config, browse points, c
• IntunoAI/intunoOpen platform for AI agent networks — semantic discovery, a secure broker, and multidirectional agent-to-agent
• @marcelo-ochoa/server-qnapAn MCP server for QNAP NAS API.
• bluecolumn-mcpMCP server for BlueColumn — persistent semantic memory API for AI agents. Remember, recall, and store observat
• nvidia-nim-mcpProduction-ready MCP server for NVIDIA NIM models - 50+ LLMs, multimodal, image generation, embeddings, rerank
• @infoinlet/mcp-knowledge-ragPermission-aware RAG knowledge base for agents — ingest docs, hybrid search, cited answers (hosted API).
• @hbarefoot/engramPersistent memory for AI agents. SQLite for agent state.
• scholar-rag-mcpAcademic paper knowledge-base MCP server: PDF ingest, vector search with reranking, KB management.
• @marcelo-ochoa/server-postgresAn MCP server for PostgreSQL databases.
• @marcelo-ochoa/server-mysqlAn MCP server for MySQL databases.
• @laskarks/mcp-rag-nodeSimple MCP RAG server using @modelcontextprotocol/sdk
• io.github.kroq86/vector-db-mcpAssembly-accelerated DuckDB MCP server for code search, indexing, and symbol lookup.
• @intelagent/mcp-file-processorMCP server for universal text extraction, keyword extraction, language detection, and text chunking for RAG pi
• io.github.RobThePCGuy/rag-vaultLocal RAG MCP server with hybrid search, PDF/DOCX support, and zero-config setup
• io.github.calypso-so/multimodal-rag-mcp-serverCalypso multimodal RAG for grounded answers from docs, images, charts, and knowledge.
• @larelabs/refinery-mcpMCP server for cleaning raw HTML into LLM-ready text with Refinery.
• @raajvamsy/memorylayerPersistent semantic memory for AI agents — npx @raajvamsy/memorylayer
• integrated-semantics/flexible-graphragFlexible GraphRAG: Python, LlamaIndex (LangChain also coming) Docker Compose: 8 Property Graph dbs, 3 RDF grap
• shebe-oss/shebeFast BM25 full-text search for code repositories with CLI and MCP integration for AI coding agents.
• io-devel/rag-mcp-goA Go-based Open Source Universal Memory server that exposes a Model Context Protocol (MCP) interface for LLM c
• io.github.Br0ski777/vector-searchIn-memory vector search with TF-IDF and cosine similarity. x402 micropayment.
• io.github.CSOAI-ORG/rag-knowledge-graph-mcprag-knowledge-graph-mcp MCP server by MEOK AI Labs
• io.github.CSOAI-ORG/rag-knowledge-mcprag-knowledge-mcp MCP server by MEOK AI Labs
• io.github.CSOAI-ORG/vector-knowledge-graph-mcpAI-powered vector knowledge graph MCP server for agents. Supports add node, add edge, semantic node
• io.github.fieldcure/ragMCP RAG server with hybrid search, multi-KB support, and AI-powered chunk contextualization.
• io.github.kimsb2429/internal-knowledge-baseProduction-ready RAG + MCP demo: eval-in-CI merge gate, Langfuse traces, structure-aware chunking.
• io.github.lazymac2x/embedding-searchCloudflare Workers MCP server: embedding-search
• io.github.linggen/linggenLocal, privacy-focused RAG service for code search via MCP. https://linggen.dev
• io.github.mameshivaa/x-archive-ragLocal-first MCP tools for searching and drafting from your X/Twitter archive.
• vector-mirrorDeterministic SVG perception for LLM agents — measures, never guesses. MCP server.
• @perpage/mcp-serverMCP server for PerPage — give AI agents clean, LLM-ready web data (scrape & extract) as native tools.
• @nodeproxy/vectorcachex402-gated semantic vector cache for agent swarms: Redis-backed similarity lookup. Paid in USDC.
• @damoqiongqiu/mcp-local-ragSemantic code & doc search with keyword boost. AST code nav, auto HF mirror, local, privacy-first.
• ai-rete-rag-mcpAuthor rules from policy docs, then decide: a Rete engine gives the verdict, an LLM explains why.
• vectorizer-mcpMCP server for Vectorise.Me — vectorize raster images (JPG, PNG, BMP, WEBP, AVIF) to SVG and export to PDF, EP
• jaimenbell-rag-mcpMinimal RAG-over-a-corpus MCP retrieval: search_knowledge returns cited chunks. Local embeddings.
• darwin-ragLocal-first RAG engine with MCP server for AI agent integration.
• io.github.EllisMorrow/omniclip-rag-mcpRead-only local-first MCP server for private Markdown, PDF, and Tika-backed search on Windows.
• io.github.aa0101181514/tw-legal-ragCitation-guarded retrieval over 22M Taiwan court judgments and administrative interpretations
• io.github.sercanmetalore/rag-service-mcpRAG-as-a-service MCP sunucusu — çok-kiracılı koleksiyon yönetimi, metin ingest (chunk+embed+upsert,…
• mcp-docs-askLocal RAG MCP for markdown documentation. Retrieval only; host synthesizes answers.
• io.github.eltociear/url-to-markdown-for-llmsFetch URLs and return clean Markdown for RAG — nav, ads and boilerplate stripped.
• rag-knowledge-graph-mcpRag Knowledge Graph MCP Server by MEOK AI Labs
• rag-knowledge-mcpRag Knowledge MCP Server by MEOK AI Labs
• vector-knowledge-graph-mcpAI-powered vector knowledge graph MCP server for agents. Supports add node, add edge, semantic node
• mcparmory-pineconeCreate and manage vector database indexes, backups, and collections
• onyx-mcpA comprehensive, secure Model Context Protocol server for Onyx.
• mcp-qdrantMCP server that wraps the Qdrant vector database API as tools.
• com.vectorpanda/databaseOperate your Vector Panda collections: search and upsert vectors, schema, measured indexes, exports.
• com.vectorpanda/docsSearch and read Vector Panda docs: API operations, pricing, storage tiers, measured benchmarks.
• com.getacqpath/acqpathCheck content rights before RAG, AI input, training or indexing. Signed RSL evidence, not a license.
• @fts-studio/studio-mcpMCP server for FTS Studio API — search financial news & regulatory intelligence, retrieve full articles, gener
• laikaorbitZero-model recall over your files: the exact section that answers a question, in about a millisecond. CLI and
• weaviate-mcpMCP server for Weaviate: collections, objects, GraphQL search. Works with any instance.
• rag-securityDetects RAG pipelines that ingest external documents into LLM context without
• dspy-3-retrieval-augmented-generationSub-skill of dspy: 3. Retrieval-Augmented Generation.
• venice-embeddingsCall POST /embeddings on Venice. Covers request shape (input, model, encoding_format, dimensions, user), OpenA
• astra-vector-backendBuild Astra DB Data API vector retrieval adapters and LangChain-compatible backend contracts.
• wshobson-rag-implementationA curated guide to convention files AI agents read, write, and act on: AGENTS.md, CLAUDE.md, SKILL.md, llms.tx
• rag-pipeline-designerDesigns end-to-end retrieval-augmented generation (RAG) systems by making principled choices for chunking, emb
• rag-engineerProvides Retrieval-Augmented Generation patterns covering embedding models, vector databases, chunking strateg
• rag-specialistBuild Retrieval Augmented Generation (RAG) pipelines with vector databases, embeddings, and context-aware resp
• rag-architectureDesign production retrieval-augmented generation systems — the full ingest→chunk→embed→index→retrieve→rerank→a
• rag-architectDesigns and implements production-grade RAG systems by chunking documents, generating embeddings, configuring
• ragUse when building retrieval-augmented generation. Covers chunking, embedding and hybrid search, reranking, gro
• rag-builder端到端构建 RAG（检索增强生成）管道。当需要为 LLM 接入本地知识库、做文档问答、控制幻觉、选型 embedding/检索/评估方案时使用。
• ai-science-esm2-embeddingsGenerate ESM2 protein embeddings (fair-esm/transformers) and predict structure with ESMFold. Use when embeddin
• ai-science-vision-ragColPali-style Vision RAG: embed rendered PDF pages, retrieve via ColBERT MaxSim, feed top-k pages to Qwen2-VL,
• pineconeProduction-ready AI coding skills for APIs. Installable skills for Claude Code, Cursor, Codex CLI, Gemini CLI,
• qdrant-vector-searchHigh-performance vector similarity search engine for RAG and semantic search. Use when building production RAG
• vector-spacesProblem-solving strategies for vector spaces in linear algebra
• hunt-rag-vectorHunt vector-store / embedding-layer weaknesses in RAG pipelines (OWASP LLM08 Vector and Embedding Weaknesses)
• render-flat-vector-explainerAssemble the FREE steps of the flat-vector-explainer video format — a flat-illustration creator-character walk
• embedding-optimizationOptimizing vector embeddings for RAG systems through model selection, chunking strategies, caching, and perfor
• using-vector-databasesVector database implementation for AI/ML applications, semantic search, and RAG systems. Use when building cha
• agentdb-vector-searchImplement semantic vector search with AgentDB for intelligent document retrieval, similarity matching, and con
• langchain4j-rag-implementation-patternsProvides Retrieval-Augmented Generation (RAG) implementation patterns with LangChain4j for Java. Generates doc
• langchain4j-vector-stores-configurationProvides configuration patterns for LangChain4J vector stores in RAG applications. Use when building semantic
• qdrantProvides Qdrant vector database integration patterns with LangChain4j. Handles embedding storage, similarity s
• dspy-embedding-retrievalUse for DSPy retrieval with dspy.Embedder, dspy.Embeddings, FAISS indexes, semantic search, and local or hoste
• dspy-rag-pipelineUse for RAG pipelines, retrieval augmented generation, ColBERTv2, context retrieval, multi-hop RAG, and ground
• vector-styleVector-clean art direction for Blender with flat fills, sharp silhouettes, and UI-like graphic clarity.
• ai-ragDesigns retrieval-augmented generation and search systems. Use when choosing retrieval, chunking, hybrid searc
• ai-vector-brainBuilds vector-brain implementations for repos, docs hubs, and compliance corpora. Use when creating pgvector r
• rag-and-memoryPatterns for Retrieval-Augmented Generation (RAG) and agent memory systems. Retrieves only relevant context, p
• assessing-vector-and-embedding-weaknessesTest vector stores for embedding inversion, cross-tenant leakage, and poisoning.
• weaviate-collection-managerCreate, view, update, and delete Weaviate collections with schema management (for local Weaviate)
• weaviate-connectionConnect to local Weaviate vector database and verify connection health
• weaviate-data-ingestionUpload and process data into local Weaviate collections with support for single objects, batch uploads, and mu
• weaviate-local-setupSet up and manage a local Weaviate instance using Docker
• weaviate-query-agentSearch and retrieve data from local Weaviate using semantic search, filters, RAG, and hybrid queries
• monitor-rag-qualityUse this to measure and monitor the quality of a RAG (retrieval-augmented generation) pipeline - whether it re
• laravel-vector-searchUse when implementing semantic/vector search in Laravel 13 with PostgreSQL + pgvector.