Added Hubris as a new OpenAI-compatible model provider for the Russian market, with per-model thinking.default_value empirically measured (not guessed), endpoint pinned (not configurable)
Add MonkeyOCRv2-Parsing as a document layout parser. Adapter sends docs to HTTP API, extracts ZIP response, converts JSON layout (text/tables/bbox) to RAGFlow sections. Configurable via MONKEYOCRV2_SERVER_URL.
Add llmman support (local OCI-distributed models) — Python + Go chat/embeddings/list. Uses OpenAI API shape.
Signed-off-by: Eric Curtin <eric.curtin@docker.com>
Co-authored-by: Jin Hai <haijin.chn@gmail.com>
Fix Qwen3 thinking toggle ignored via vLLM/OpenAI endpoints. Now sends chat_template_kwargs.enable_thinking through Python/LiteLLM/OpenRouter/Go clients.
Closes#18595
### Summary
Closes#17848.
This replaces #17958 with a smaller implementation focused on the
original requirement. The previous PR gradually expanded beyond the
necessary scope; the optional custom endpoint extension is intentionally
excluded from this version.
- Add request-scoped Bedrock API key authentication to the Python
Bedrock adapters and Go chat runtime.
- Discover and persist models available to API key instances, so users
do not need to manually enter the model type, model name, or maximum
token count.
- Add API Key mode to the existing Bedrock settings UI and refresh the
model and default-model lists after instance changes.
- Preserve selected models during credential-only updates while keeping
the existing SigV4 authentication modes unchanged.
- Return a clear error for unsupported API-key reranking.
- Document instance-scoped authentication and short-term API key
guidance.
Ports the smart-reasoning (agentic RAG) conversation mode to the eino ADK, with Go retrieval tools (grep_chunks, search_chunks, list_chunks), deep-read XML output, and frontend agent-mode wiring.
Some NVIDIA hosted models (e.g. meta/llama-3.2-11b-vision-instruct )
expose a full
endpoint URL per model that does not follow the normal base_url +
url_suffix
assembly. Previously the Go driver always called {base}/chat/completions
, so chat
requests for these vision models hit the wrong endpoint and failed.
This PR adds an optional per-model url field in conf/models/nvidia.json
. When
present, every NVIDIA driver request (chat, streaming chat, embedding,
rerank, model
listing) uses it directly; otherwise the standard assembly is unchanged.
## What
This pull request adds **MWS GPT Model Hub** as a built-in model
provider in RAGFlow.
The integration allows users to configure an MWS project endpoint and
token, discover the models available to that project, and use supported
MWS models for chat completion, embeddings, and reranking.
Co-authored-by: ilarionov_n <ilarionov_n@promis.ru>
Re-materialize wiki page graph from merged wiki_page rows after each
batch merge. Adds ProjectWikiGraph/DropWikiGraph, full page_type/slug
identity, delete-then-insert, tests.
AnonrouterandSunday Labs --labrat
Sbaaoui Idriss
Yingfeng
euvre
qinling0210
buua436
Konstantin Romankov
Wang Qi
Ziyang Zhang
Jin Hai
Lynn
Eric CurtinandJin Hai
jay77721
Haruko386
JH_up
崔涣
xugangqiang
He Wang
Zhichang Yu
Loi NguyenandCodex
mkaaadandJin Hai
nikminerandilarionov_n