“Knowledge base and RAG”

Use when designing knowledge bases, RAG, wiki, knowledge graphs, memory for agents, or "how should we store docs for humans vs agents".

Configure and use Monica AI providers, chat, knowledge bases, RAG, runtime skills, and MCP in an application.

Use when Codex needs to build or query a local RAG knowledge base for academic papers, literature matrices, public author guidelines, GB/T7714 rules, CSL…

Production-ready RAG + MCP demo: eval-in-CI merge gate, Langfuse traces, structure-aware chunking.

Lightweight self-hosted RAG knowledge base with hybrid retrieval and cited answers.

A searchable knowledge base your assistant reads and writes.

Apache-2.0 Java platform for building AI agents and bots, with RAG knowledge bases, visual workflows and MCP tool support.

Open-source, Apache-2.0 visual tool for building AI agents, apps and workflows with plugins, knowledge bases and an API and chat SDK

Open-source platform for building AI apps, agentic workflows and RAG pipelines, available as managed cloud or self-hosted

Open-source personal assistant with a RAG knowledge base, agent loops and MCP tool access.

Chinese-language tender agent platform that interprets bid documents, drafts bids, runs 21 compliance checks and formats docx output.

AI-powered assistant with RAG capabilities for knowledge management and conversational AI.

Context layer for building AI agents that reason over technical documents and institutional knowledge.

Context layer for AI agents that ingests content and serves search, knowledge graphs and cited answers.

Object storage with native vector storage and querying for AI agents, RAG and semantic search.

WorkspaceGPT

Riteshkant

The coding agent that knows your whole org.

Python framework for autonomous agents that work in a sandboxed workspace, and task agents with tools and MCP support.

Open-source Python library for evals, red teaming and test generation for agentic systems