anythingllm-rag
Related Servers
Alternatives to anythingllm-rag
No user-submitted related servers found.
Related Servers
- AlicenseAqualityCmaintenanceEnables per-project, traceable access to a RAG knowledge base, with tools for searching and adding knowledge chunks.4MIT
- AlicenseAqualityAmaintenanceEnables coding agents to query local notes, decisions, docs, and code with hybrid retrieval (BM25 + embeddings + reranking) and get path:line citations. It provides tools like rag_query for full-corpus search and search_knowledge for project-scoped knowledge recall.21MIT
- AlicenseAqualityBmaintenanceEnables AI agents to maintain a persistent knowledge graph of a project, providing dependency context, impact analysis, side-effect discovery, and session recording for more informed coding decisions.5MIT
- AlicenseNot gradedqualityDmaintenanceEnables AI coding agents to retrieve and manage code context with hybrid search, project memory, and observability via MCP tools.29MIT
- AlicenseNot gradedqualityAmaintenanceRoutes coding agents to the most relevant project documentation (decisions, intent, constraints) with provenance and freshness, providing tools for task routing, knowledge search, and document context.28 npmMIT
- AlicenseBqualityAmaintenanceEnables AI coding agents to persist, share, and retrieve project context locally via plain-text files, with support for capturing, packing, searching, and importing transcripts without external services.4MIT
TDQS
Scored across 5 tools
Each tool targets a distinct operation: lookup, creation, semantic search, document injection, and document removal. The only minor overlap is that rag_write can remove stale embeddings via overwrite, but the intent (write vs. forget) is clearly separated in the descriptions.
All tools share a consistent rag_ prefix and use lowercase snake_case verbs. However, create_workspace includes an object while find, search, write, and forget are bare verbs, so the pattern is not perfectly uniform.
Five tools is a well-scoped set for a focused RAG/workspace utility. Each tool covers a distinct part of the workflow without redundancy or bloat.
The core RAG lifecycle is covered: find/create workspaces, write docs, semantic search, and forget docs. The main gap is the lack of a workspace deletion tool, which prevents full lifecycle cleanup.