RAG и базы знаний
pipeshub-ai
The open-source, permission-aware context layer that lets agents search all your company knowledge.
★ 3,8 тыс. звёздApache-2.0
Смотреть руководство →trustgraph — проект с открытым исходным кодом из категории «RAG и базы знаний» от trustgraph-ai (trustgraph-ai/trustgraph на GitHub). У него 2 787 звёзд на GitHub и 330 форков, он распространяется по лицензии Apache-2.0 и последний раз обновлялся на GitHub 7 октября 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.
Другие проекты из категории «RAG и базы знаний» с наибольшим числом звёзд в каталоге LibreAI — реалистичный список альтернатив, если trustgraph вам не подходит.
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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
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Соседние проекты из категории «RAG и базы знаний» в каталоге, ближайшие по числу звёзд к trustgraph — продолжайте изучать полку по обе стороны от него.
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.
Бесплатно и открыто — забирайте исходный код, ставьте звезду репозиторию и начинайте создавать.