RAG y conocimiento
pipeshub-ai
The open-source, permission-aware context layer that lets agents search all your company knowledge.
★ 3,8k estrellasApache-2.0
Ver la guía →trustgraph es un proyecto de RAG y conocimiento de código abierto de trustgraph-ai (trustgraph-ai/trustgraph en GitHub). Tiene 2.787 estrellas en GitHub y 330 bifurcaciones, se publica bajo la licencia Apache-2.0 y se actualizó por última vez en GitHub el 7 de octubre de 2026.
The semantic intelligence layer for ontologies — governed, traceable knowledge for AI agents
Identify the domain knowledge agents must answer about unambiguously, and bring an OWL ontology, build one, or start from a domain standard.
No clone is needed unless building from source — the config tool generates a deployment bundle for Docker, Podman or Minikube.
Run the config tool, follow the generated INSTALLATION.md, and connect your LLM provider (or a self-hosted open-weight model).
Ingest documents (PDF, DOCX, XLSX, PPTX, HTML, Markdown, CSV, images), then ask a natural-language question in the UI on port 8888.
RDF 1.2 named graphs with OWL ontology enforcement: typed entities, defined relationships and logical inference instead of fuzzy chunk similarity.
W3C PROV-O-based provenance: extraction lineage, query traces and agent behavior are stored as queryable graph data.
Converts PDF, DOCX, XLSX, PPTX, HTML, Markdown, CSV and image files into structured semantic knowledge.
A native agent runtime that traces behavior and links decisions to source knowledge, plus an API gateway for bring-your-own frameworks.
Workspaces, Collections, Flows and reusable Knowledge Cores isolate, govern and version knowledge over time.
Managed Cassandra storage, Qdrant vectors, S3-compatible object storage, Pulsar/RabbitMQ messaging, and vLLM/TGI/Ollama/LM Studio options ship with the platform.
Clone TrustGraph only if building from source; the normal deploy path is step 2.
git clone https://github.com/trustgraph-ai/trustgraph.git
cd trustgraphThe README quickstart generates an app config (deploy.zip with docker-compose.yaml or Kubernetes resources, plus INSTALLATION.md).
npx @trustgraph/configStart the generated deployment with Docker/Podman/Minikube; the TrustGraph UI serves on port 8888 by default.
# follow the generated INSTALLATION.md — see README for the exact commandtrustgraph-ai maintains it (copyright TrustGraph, 2024–2026), with docs at docs.trustgraph.ai and a Discord community.
Yes, it is Apache-2.0 licensed and self-hosted.
Almost nothing does: the README notes the only possible keys are a third-party LLM service (or self-host open-weight models instead), optional third-party OCR, and the API key you set yourself for its gateway.
The README's comparison: Neo4j is a general property-graph database with schema-optional semantics and no native provenance or ingest; TrustGraph is purpose-built as an ontology-enforced semantic layer with ingest, retrieval and agent tracing included.
Run npx @trustgraph/config, deploy the generated bundle, ingest a document, and query it from the UI on port 8888.
The open-source, permission-aware context layer that lets agents search all your company knowledge.
Utopia — an open-source enterprise world model: a bitemporal knowledge substrate that learns from your documents and gives agents a governed, auditable memory
Open rag & knowledge for "autonomie" is a highly semantic, responsive, accessibl.
A trilingual e-commerce knowledge base agents can install.
AST-powered code intelligence engine — graph database plus hybrid semantic search across 62 languages, zero LLM dependency.
A new state of the art for RAG: an open knowledge base for humans and agents.
Los demás proyectos de RAG y conocimiento con más estrellas del catálogo de LibreAI: la lista realista de alternativas si trustgraph no es lo que buscas.
Build Agentic workflows, RAG pipelines, with rich AI model and tool support on one collaborative workspace. Deploy on cloud, VPC, or…
RAGFlow is a leading open-source Retrieval-Augmented Generation (RAG) engine that fuses cutting-edge RAG with Agent capabilities to create a superior context…
Lightweight OCR toolkit turning PDFs and images into structured, LLM-ready data in 100+ languages
MinerU — turns PDFs and Office documents into LLM-ready Markdown and JSON for agents and RAG pipelines, Apache-2.0 plus terms
Stop renting your intelligence. Own it with AnythingLLM. Everything you need for a powerful local-first agent experience
Proyectos de RAG y conocimiento cercanos en el catálogo, los más próximos en estrellas a trustgraph: sigue explorando a ambos lados.
Graph RAG conversational knowledge base built on TiDB Serverless vector storage
All-in-one API platform for search, recommendations, RAG and analytics — self-hostable
Federated AI search and RAG across 100+ apps — answers with sources, without moving your data
A new state of the art for RAG: an open knowledge base for humans and agents.
seekdb — the AI-native search database unifying vector, text and structured data for agents.
A local-first AI knowledge base and NotebookLM replacement built with Electron.
Gratis y abierto: consigue el código fuente, dale una estrella al repositorio y empieza a crear.