ragrig-gpui
Reusable GPUI components for Ragrig: a streaming RAG chat, a Markdown transcript, source chips, attachment context, session picking, agent status, a full settings page, and a dedicated Tokio controller. The crate has no editor; Sciscraper and other hosts compose these pieces into their own layout.
Status: M2 (RAG chat), M4 (GROBID references), and M5 (roundtrip
experience) complete — controller, RAG chat demo, sessions, library
ingestion, settings, reference rows with hover copy actions, @key citation
attachment, and multi-select bulk actions. The public API may still change
before 1.0. See PLAN.md for milestones, decisions, and measured
results.
Quick start
Requirements:
- Rust 1.88 or newer. Tested with Rust 1.99.
- On Linux, GPUI links
libxkbcommonandlibxkbcommon-x11; the runtime libraries are not sufficient:
- A local Ollama server with the configured chat and embedding models for the full RAG demo. Without it the window still opens; requests report the connection error in the status line.
- Alternatively set
DEEPSEEK_API_KEYand select DeepSeek in Settings. Keys are read from the environment only and never persisted.
Run the demo from this crate's directory:
RAGRIG_WORKSPACE=/tmp/ragrig-demo \
RAGRIG_CORPUS=/path/to/papers \
RAGRIG_MODEL=llama3.2:3b \
Add the GROBID feature and parse the folder's references too:
RAGRIG_WORKSPACE=/home/mart/Packages/ragrig-gpui/test_library \
RAGRIG_GROBID=1 \
This writes .ragrig/references.bib in the workspace and a GROBID manifest in
the corpus folder. Renaming is off by default; enable it under Settings →
References if you want the PDFs renamed to Key - Authors - Title - Year.
RAGRIG_WORKSPACE defaults to the current directory. RAGRIG_CORPUS indexes
a folder on startup; RAGRIG_MODEL and RAGRIG_EMBED_MODEL override the
settings defaults; RAGRIG_ASK submits a first question after the window
opens (use it with an already indexed workspace, because indexing and asking
are serialised); include an @Key in that question to exercise citation
attachment; RAGRIG_GROBID=1 parses references on startup when the grobid
feature is enabled.
Or select the manifest explicitly from anywhere:
What to try
cargo run --exampleresolves against the package in the current directory. A parent directory with its ownCargo.tomlis a different package and reportsno example target named ragchat.
- Library (left dock): enter a folder, press Index, watch documents and chunks appear. Indexing is incremental and can be stopped.
- References (Library, with
--features grobid): press GROBID to parse the folder's PDFs. Rows show@key, authors, year, and title. Hover a row for a leading + and Copy @key / Copy path; a row without a PDF explains why the path button is disabled. Select any number of rows and one floating bar appears with Copy @keys, Copy paths, Attach to next question, and Clear. The last-run report shows parsed, cached, merged, and duplicate counts. - Click the paperclip on a document row to attach it to the next question.
- Chat (center): ask a question. Write
@Kano2025(or any key shown in the bibliography) and the paper is parsed and attached as one-shot context; a note above the answer lists the attached keys and any misses. Tokens stream, the footer reports chunks, sources, tokens, and elapsed time. Stop keeps the partial answer; retry a failed answer with the last prompt. - Sessions (left dock): new, load, and refresh saved conversations. Apply in Settings rebuilds the agent and reloads the current saved session.
- Settings (right dock): workspace, provider, models, generation, prompt,
embeddings, retrieval, PDF backend, chunking, memory, and (with
grobid) GROBID extraction plus the Use @key citations switch. Apply validates and rebuilds. Profiles save/load JSON under.ragrig/profiles. - Components (right dock): live Ragrig pipeline status.
- Chat with an empty library; Ragrig falls back to pure chat.
The M1 widget gallery remains available and needs no Ragrig backend:
The M0 bridge spike is still there:
Features
| Feature | Default | Purpose |
|---|---|---|
ragrig |
yes | RagController, RagChat, RagSettings, Tokio worker |
grobid |
no | GROBID/BibTeX extraction, reference rows, @key citations, multi-select bulk actions |
arXiv and Semantic Scholar discovery are deprecated and will not be ported.
Architecture
host (e.g. examples/ragchat.rs)
DockArea, panels, agent bar, session picker
│
ragrig-gpui
ChatView / Composer / AgentBar / SessionPicker / ...
RagChat ── transcript + attachments + composer wiring
RagController ── commands/events, mirrored status
│ bounded async_channel
worker thread ── multi-thread Tokio runtime
│
AgentSession ── RagAgent, vector store, session store
grobid-bibtex pre-pass ── manifest, extract, rename, merge
RagController::new(RagSetup, cx)starts one worker thread per controller.RagChat::new(window, cx, controller)wires the M1 primitives and re-emitsRagChatEvents for status, source clicks, and copy.RagSettings::to_setup()validates and converts toRagrigConfigplus a prompt override, stream flag, and@keycitation switch.- The worker caches a
CiteStatefor the workspace bibliography and resolves citations on its blocking pool before generation. A folder parsed with GROBID joins the citation corpora even when it was not indexed. - Host prompts are applied with
RagAgent::set_system_prompt, which appends{context}when a prompt does not contain it. Without that placeholder, Ragrig has nowhere to substitute retrieved chunks or attached papers, so the model never sees either. SciscraperAttachformats context with the co-writer prompt's<sciscraper:v1:context source="creator">andsource="corpus"containers. Attached@Keypapers therefore arrive as<sciscraper:v1:document name="@Key">…</sciscraper:v1:document>, not as generic[Attached: …]blocks.- The same strategy budgets the context block for
context_tokens: explicit attachments receive 70% of the window and retrieval the rest, so a 36k-char paper cannot push itself out of a 4096-token model. Shortened papers carry a<sciscraper:v1:truncated shown="…" total="…"/>marker, which the co-writer prompt already understands. rag_settings(id, settings, controller, cx)builds the complete page; Apply is explicit.
Checks
Current suite: 69 active library tests (including nine actor tests with a fake generator and embedder, context-format and budgeting tests, citation-resolution tests, and GPUI hover, selection and bulk-clipboard tests), 2 gallery tests, 5 active spike tests plus one ignored typing benchmark, and 2 doctests. One GROBID end-to-end test is ignored by default:
It copies the PDFs from test_library/ to a temporary corpus, parses them
with the running GROBID server, renames them, merges the bibliography, checks
every row's PDF path, and resolves one key through the real PDF parser. It
needs http://localhost:8070.
On a machine without the xkbcommon development packages, linking fails even though the Rust crates compile. Install the packages above; do not paper over the link error in CI.
Notes for integrators
- Depend on
gpui-kit, never ongpuidirectly. The facade keeps the backend swappable and is the version contract for this crate. - Ragrig runs on a dedicated Tokio runtime thread. Never drive its futures on GPUI's executor.
- Streaming tokens are batched on the worker; the UI receives roughly 30 batches per second, not one wakeup per token.
- Inside a widget's own event callback, defer mutations of that widget with
cx.defer.RagChatdoes this for retry. ChatViewkeeps oneTextViewStateper message and appends withpush_str. Streaming bodies stay raw;finish/stopstabilise fences once.- A true inline streaming caret is not implemented: it would mutate the Markdown body. The view uses a blinking status dot instead.
- Ingestion holds the session lock and runs on the session's own agent. Cloning some vector stores deep-copies them; do not ingest through a cloned agent.
- Secrets come from the environment (
DEEPSEEK_API_KEY) and are never persisted. Profiles contain"deepseek_api_key": null. - GROBID extraction runs on the same worker as chat. It uses
grobid-bibtex's pre-pass, so unchanged PDFs are cached by a.ragrig_grobid.jsonmanifest. References merge into<workspace>/.ragrig/references.bib; the demo resolves rows' PDFs against the selected corpus. Rename and OpenAlex completion are opt-in because both change files or call the network. @keyresolution is capped at 3 papers per question and 100,000 characters per paper, mirroring Sciscraper. Citing the same file through two aliases counts both keys as resolved but attaches the document once. Misses never abort the question; they appear in the transcript note.ReferenceSelectionis keyed by citation key, so a refreshed list keeps the selection.ReferenceRow::on_selectadds the leading +;ReferenceSelectionBarperforms the bulk copy actions and reports Attach / Clear to the host, which owns the chat and the selection.- The checked-in
Cargo.lockis intentional:gpui-kit 0.7.3's optionalgpui-fastbranch pinscocoa =0.26.0, while a pre-existing lockfile may hold0.26.1. A fresh resolve succeeds; a stale one fails.
License
MIT