https://rag.kymatalabs.com The living index of retrieval-augmented-generation tooling — frameworks, vector DBs, embeddings. https://rag.kymatalabs.com/p/shubhamsaboo-awesome-llm-apps/Shubhamsaboo/awesome-llm-apps100+ AI Agent & RAG apps you can actually run — clone, customize, ship. https://rag.kymatalabs.com/p/infiniflow-ragflow/infiniflow/ragflowRAGFlow is a leading open-source Retrieval-Augmented Generation (RAG) engine that fuses cutting-edge RAG with Agent capabilities to create a superior context layer for LLMs https://rag.kymatalabs.com/p/paddlepaddle-paddleocr/PaddlePaddle/PaddleOCRTurn any PDF or image document into structured data for your AI. A powerful, lightweight OCR toolkit that bridges the gap between images/PDFs and LLMs. Supports 100+ languages. https://rag.kymatalabs.com/p/pathwaycom-llm-app/pathwaycom/llm-appReady-to-run cloud templates for RAG, AI pipelines, and enterprise search with live data. 🐳Docker-friendly.⚡Always in sync with Sharepoint, Google Drive, S3, Kafka, PostgreSQL, real-time data APIs, and more. https://rag.kymatalabs.com/p/meilisearch-meilisearch/meilisearch/meilisearchA lightning-fast search engine API bringing AI-powered hybrid search to your sites and applications. https://rag.kymatalabs.com/p/run-llama-llama-index/run-llama/llama_indexLlamaIndex is the leading document agent and OCR platform https://rag.kymatalabs.com/p/milvus-io-milvus/milvus-io/milvusMilvus is a high-performance, cloud-native vector database built for scalable vector ANN search https://rag.kymatalabs.com/p/mindsdb-minds/mindsdb/mindsGeneral-purpose AI designed for knowledge workers — creators, strategists, and operators — and individuals seeking AI systems they can truly control to help them get work done, with full flexibility to extend and deploy anywhere (VPC, on-prem, or cloud). https://rag.kymatalabs.com/p/hkuds-lightrag/HKUDS/LightRAG[EMNLP2025] "LightRAG: Simple and Fast Retrieval-Augmented Generation" https://rag.kymatalabs.com/p/patchy631-ai-engineering-hub/patchy631/ai-engineering-hubIn-depth tutorials on LLMs, RAGs and real-world AI agent applications. https://rag.kymatalabs.com/p/langchain-ai-langgraph/langchain-ai/langgraphBuild resilient agents. https://rag.kymatalabs.com/p/microsoft-graphrag/microsoft/graphragA modular graph-based Retrieval-Augmented Generation (RAG) system https://rag.kymatalabs.com/p/qdrant-qdrant/qdrant/qdrantQdrant - High-performance, massive-scale Vector Database and Vector Search Engine for the next generation of AI. Also available in the cloud https://cloud.qdrant.io/ https://rag.kymatalabs.com/p/onyx-dot-app-onyx/onyx-dot-app/onyxOpen Source AI Platform - AI Chat with advanced features that works with every LLM https://rag.kymatalabs.com/p/vectifyai-pageindex/VectifyAI/PageIndex📑 PageIndex: Document Index for Vectorless, Reasoning-based RAG https://rag.kymatalabs.com/p/labring-fastgpt/labring/FastGPTFastGPT is a knowledge-based platform built on the LLMs, offers a comprehensive suite of out-of-the-box capabilities such as data processing, RAG retrieval, and visual AI workflow orchestration, letting you easily develop and deploy complex question-answering systems without the need for extensive s https://rag.kymatalabs.com/p/getzep-graphiti/getzep/graphitiBuild Real-Time Knowledge Graphs for AI Agents https://rag.kymatalabs.com/p/scrapegraphai-scrapegraph-ai/ScrapeGraphAI/Scrapegraph-aiPython scraper based on AI https://rag.kymatalabs.com/p/volcengine-openviking/volcengine/OpenVikingOpenViking is an open-source context database designed specifically for AI Agents(such as openclaw). OpenViking unifies the management of context (memory, resources, and skills) that Agents need through a file system paradigm, enabling hierarchical context delivery and self-evolving. https://rag.kymatalabs.com/p/deepset-ai-haystack/deepset-ai/haystackOpen-source AI orchestration framework for building context-engineered, production-ready LLM applications. Design modular pipelines and agent workflows with explicit control over retrieval, routing, memory, and generation. Built for scalable agents, RAG, multimodal applications, semantic search, and https://rag.kymatalabs.com/p/chopratejas-headroom/chopratejas/headroomCompress tool outputs, logs, files, and RAG chunks before they reach the LLM. 60-95% fewer tokens, same answers. Library, proxy, MCP server. https://rag.kymatalabs.com/p/hkuds-deeptutor/HKUDS/DeepTutorDeepTutor: Agent-native, Open-sourced Personalized Tutoring. https://deeptutor.info/. https://rag.kymatalabs.com/p/opendataloader-project-opendataloader-pdf/opendataloader-project/opendataloader-pdfPDF Parser for AI-ready data. Automate PDF accessibility. Open-source. https://rag.kymatalabs.com/p/cinnamon-kotaemon/Cinnamon/kotaemonAn open-source RAG-based tool for chatting with your documents. https://rag.kymatalabs.com/p/hkuds-rag-anything/HKUDS/RAG-Anything"RAG-Anything: All-in-One RAG Framework" https://rag.kymatalabs.com/p/huggingface-sentence-transformers/huggingface/sentence-transformersState-of-the-Art Embeddings, Retrieval, and Reranking https://rag.kymatalabs.com/p/topoteretes-cognee/topoteretes/cogneeCognee is the open-source AI memory platform for agents. Give your AI agents persistent long-term memory across sessions with a self-hosted knowledge graph engine. https://rag.kymatalabs.com/p/weaviate-weaviate/weaviate/weaviateWeaviate is an open-source vector database that stores both objects and vectors, allowing for the combination of vector search with structured filtering with the fault tolerance and scalability of a cloud-native database​. https://rag.kymatalabs.com/p/neuml-txtai/neuml/txtai💡 All-in-one AI framework for semantic search, LLM orchestration and language model workflows https://rag.kymatalabs.com/p/langchain4j-langchain4j/langchain4j/langchain4jLangChain4j is an idiomatic, open-source Java library for building LLM-powered applications on the JVM. It offers a unified API over popular LLM providers and vector stores, and makes implementing tool calling (including MCP support), agents and RAG easy. It integrates seamlessly with enterprise Jav