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Current release: `0.5.3`.\n\nRelease `0.5.3` fixes credential validation by testing a protected, read-only LightRAG\nendpoint instead of the public health check, so invalid API keys and bearer tokens no\nlonger appear valid.\n\nRelease `0.5.2` republishes the `0.5.1` behavior under a fresh patch version so npm\nand self-hosted n8n installations can resolve the latest package metadata consistently.\n\nRelease `0.5.1` replaces raw source file names and front matter in live Chat progress\nwith compact Markdown materials. Public HTTP(S) sources use the front-matter title and\ncanonical/source URL as a clickable link, internal sources remain clearly labelled\nplain text, and each item includes a cleaned preview of at most 180 characters.\n\nRelease `0.5.0` adds `Chat Stream Response`, a credential-free companion node for\nstreaming prepared Markdown replies from workflow branches that do not execute a\nstream-capable AI or LightRAG node. This lets one Chat Trigger use `Streaming response`\nwithout losing deterministic greeting, routing, contact, or fallback replies.\n\nRelease `0.4.0` adds opt-in LightRAG query progress, source excerpts, and answer\nstreaming for n8n Chat while preserving the regular workflow node's default buffered\nbehavior. `LightRAG Tool` remains retrieval-only through `POST /query/data`: LightRAG\nretrieves text chunks and the connected AI agent writes the final answer.\n\nRelease `0.4.1` synchronizes the npm and node descriptions and the repository skills\nwith the streaming behavior introduced in `0.4.0`; runtime behavior is unchanged.\n\n## Nodes\n\n### Chat Stream Response\n\nUse `Chat Stream Response` in branches that already have a complete Markdown reply but\nrun under a Chat Trigger configured with `Streaming response`. Set `Message` to the\nprepared text, for example `{{$json.output}}`. The node sends one `begin`, `item`, and\n`end` sequence for every input item and then passes that item through its normal Main\noutput, preserving item pairing. It requires no credentials.\n\nDo not place this node after a branch that already streamed the same answer. For mixed\nflows, send only the deterministic suffix that was not emitted by the upstream streaming\nnode. An empty message or a non-streaming execution is treated as a node configuration\nerror; standard Continue On Fail behavior remains available.\n\n### LightRAG\n\nUse `LightRAG` in a regular n8n workflow. It has standard Main input and output\nconnections and processes every incoming item.\n\nThe node reads only parameters that belong to the selected operation. Parameters hidden\nby n8n `displayOptions` are never requested during execution. Operations such as\n`health`, `pipelineStatus`, and `scanDocuments` therefore require no placeholder fields.\n\nChoose an operation in the node UI. Operations that send JSON use the complete current\ninput item (`{{$json}}`) as the request body by default. For example, an input item for\nthe `Query` operation can be:\n\n```json\n{\n  \"query\": \"What does the knowledge base say about LightRAG?\",\n  \"mode\": \"mix\",\n  \"include_references\": true\n}\n```\n\nYou can replace the Request Body expression with a manually configured object or map\nindividual fields from previous nodes. Responses are emitted through the normal Main\noutput and retain n8n item pairing.\n\n#### Stream Query progress to n8n Chat\n\nEnable `Stream Progress to Chat` on the `Query` operation to remove the silent wait in\nan n8n chat workflow. The Chat Trigger must use `Streaming response`, and the LightRAG\nserver must support `POST /query/stream`, `include_progress`, and\n`include_chunk_content`.\n\nThe node immediately displays a request-start message, then translates LightRAG's live\nretrieval stages into short Russian status messages. Once retrieval completes, it shows\nup to three unique materials using `title`, `canonical_url`, and `source_url` from each\nreference's front matter. Safe public HTTP(S) sources become Markdown links; identifiers\nsuch as `internal:*` remain plain text. Each material includes a cleaned preview of at\nmost 180 Unicode characters. Raw front matter, file extensions, and internal directory\npaths are not displayed. The streamed LightRAG answer follows under an `Ответ` heading.\nThese messages remain together in the final Markdown chat response.\n\nIn this mode the node forces `stream`, `include_progress`, `include_references`, and\n`include_chunk_content` to `true` and parses the NDJSON response incrementally. Its Main\noutput remains an aggregated query result containing `response`, `references`, and any\n`response_time` or `llm_generated` metadata returned by LightRAG. Outside a streaming\nChat Trigger workflow, the same mode still parses and returns the complete result but\ndoes not emit UI chunks.\n\n### LightRAG Tool\n\nConnect `LightRAG Tool` to the tool input of an n8n AI Agent. This node is dedicated\nto querying the knowledge base, so the agent only sees one required `Query` field.\nThe endpoint is always `POST /query/data`.\n\nThe tool supports the standard n8n AI Agent and the main `GigaChat AI` node from\n[`n8n-nodes-gigachat`](https://github.com/tomyumm-ge/n8n-gigachat). Connect the nodes\nthrough the AI Tool connection:\n\n```text\nLightRAG Tool ──ai_tool──> GigaChat AI (Tools)\n```\n\nUse `GigaChat AI`, which is the package's root conversational agent with a `Tools`\ninput. Do not use the deprecated `GigaChat Model` for this integration: that model node\ndoes not support AI Agent workflows.\n\nQuery the knowledge base:\n\n```json\n{\n  \"query\": \"What does the knowledge base say about LightRAG?\"\n}\n```\n\nRetrieval settings are controlled only by visible node fields. The defaults are\n`Mode: Naive`, `KG Top K: 5`, `Chunk Top K: 5`, `Max Entity Tokens: 2000`,\n`Max Relation Tokens: 2000`, `Max Total Tokens: 2000`, `Enable Rerank: false`, and\n`Request Timeout: 30 seconds`. The agent cannot override these values through tool\narguments. Numeric fields accept any positive integer; the connected LightRAG server\nstill applies its own deployment limits. `Max Total Tokens` includes LightRAG's own\nprompt, the query, and reserved tokens, so the available chunk budget is smaller than\nthe UI value.\n\n`Naive` is the recommended low-latency mode because it performs vector retrieval only.\n`Local`, `Global`, `Hybrid`, and `Mix` may call an LLM to extract keywords and can be\nslower. `Bypass` is not available because it produces no retrieval chunks.\n\nThe request body for the default profile is:\n\n```json\n{\n  \"query\": \"What does the knowledge base say about LightRAG?\",\n  \"mode\": \"naive\",\n  \"top_k\": 5,\n  \"chunk_top_k\": 5,\n  \"max_entity_tokens\": 2000,\n  \"max_relation_tokens\": 2000,\n  \"max_total_tokens\": 2000,\n  \"enable_rerank\": false\n}\n```\n\nThe timeout is an HTTP client setting in milliseconds and is not sent in this body.\n\nThe tool exposes `execute`, `invoke`, and `call` compatibility methods. In particular,\n`execute` allows `GigaChat AI` to pass the structured `{ \"query\": \"...\" }` arguments\nwithout converting them into a plain string. The tool returns only numbered plain-text\nfragments; entity data, metadata, references, IDs, and file paths are not sent to the\nagent. A no-results response and retrieval timeout are returned as controlled\n`LIGHTRAG_NO_RESULTS` and `LIGHTRAG_TIMEOUT` messages. Other failures remain workflow\nerrors.\n\nEach tool run records safe diagnostics in the n8n execution: retrieval settings,\nduration, outcome, chunk count, and an HTTP status when available. The LightRAG Tool\ndoes not add the query, chunks, response body, headers, or credentials to its diagnostic\nrecords or logs. The parent AI Agent can still retain function arguments and tool output\nas part of its own execution data.\n\nThe regular `LightRAG` workflow node retains the full operation list for document\nmanagement and custom requests, but is not exposed as an AI Agent tool.\n\n## Supported operations\n\n- `query` — `POST /query`, or `POST /query/stream` when `Stream Progress to Chat` is enabled;\n- `queryData` — `POST /query/data`;\n- `insertText` — `POST /documents/text`;\n- `insertTexts` — `POST /documents/texts`;\n- `trackStatus` — `GET /documents/track_status/{track_id}`;\n- `pipelineStatus` — `GET /documents/pipeline_status`;\n- `listDocuments` — `POST /documents/paginated`;\n- `scanDocuments` — `POST /documents/scan`;\n- `deleteDocuments` — `DELETE /documents/delete_document`;\n- `health` — `GET /health`;\n- `customRequest` — a request to any relative LightRAG API path.\n\nExample custom request:\n\n```json\n{\n  \"operation\": \"customRequest\",\n  \"method\": \"GET\",\n  \"path\": \"documents/status_counts\",\n  \"queryParameters\": {}\n}\n```\n\nOnly relative paths are accepted, so credentials cannot be forwarded to another host.\n\n## Query modes\n\nThe query operations support LightRAG modes `local`, `global`, `hybrid`, `naive`,\n`mix`, and `bypass`. `mix` is the LightRAG-recommended general-purpose mode.\n\nAll request fields supported by the LightRAG API can be passed in `body`, including\n`response_type`, `top_k`, `chunk_top_k`, token budgets, keyword lists,\n`conversation_history`, `user_prompt`, reranking options, and reference options.\n\n## Credentials\n\nCreate a `LightRAG API` credential:\n\n- `Base URL`: normally `http://localhost:9621`;\n- `Authentication`: `API Key`, `Bearer Token`, or `None`;\n- API key authentication is sent using `X-API-Key`;\n- include a configured reverse-proxy API prefix in the Base URL when applicable.\n\nThe credential test calls the protected, read-only `GET /documents/pipeline_status`\nendpoint. API Key and Bearer Token therefore pass only when the secret is accepted, while\nNone passes only when the server actually permits unauthenticated API access. `GET /health`\nis a liveness check and is not used to validate credentials because LightRAG can return\nHTTP 200 there without authenticating the caller.\n\n## Development\n\n```bash\npnpm install\npnpm run lint\npnpm test\n```\n\n## Resources\n\n- [LightRAG API Server documentation](https://github.com/HKUDS/LightRAG/blob/main/docs/LightRAG-API-Server.md)\n- [n8n node documentation](https://docs.n8n.io/integrations/creating-nodes/)\n\n## License\n\n[MIT](LICENSE.md)\n","readmeFilename":"README.md"}