RAG starters · Rank #8
deepsearch-academic
Grade C: derived only from the two verdicts below. How grades work
An implementation of Google Deep Search with support for 1000+ references, local inference, chatting with your scraping session using RAPTOR, and report generation.
Why this verdict
How we check →- 3 commits in the last 90 days, none in the last 30. receipt ↗
- Latest release v0.1.2, 66 days ago. receipt ↗
- OpenAI SDK 1 declared; latest is 3 (2 majors behind). receipt ↗
- LangChain 0 declared; latest is 1 (1 major behind). receipt ↗
- On current major: Pydantic, Streamlit. receipt ↗
- Not counted in verdict: LangGraph 0 → 1. receipt ↗
Snapshot: commit 1a88073 on main, checked 2026-10-19 06:34 UTC. Receipts link to files at this exact commit.
- Repository moved: seed says iblameandrew/deepsearch-academic, GitHub resolves to godelcomplete9/deepsearch-academic. Update the seed.
- No license detected: check terms before commercial use.
- Two or more breaking releases behind on a core dependency.
Dependency freshness
| Package | Declared | Latest | Status |
|---|---|---|---|
| OpenAI SDK openai | 1.40.0 | 3.35.1 | 2 majors behind |
| LangChain langchain | 0.3.0 | 1.4.6 | 1 major behind |
| LangGraph langgraph | 0.2.0 | 1.2.16 | Behind, not counted |
| Pydantic pydantic | 2.0.0 | 2.14.1 | Current |
| Streamlit streamlit | 1.36.0 | 1.66.0 | Current |
Declared = lowest version the kit's dependency file (package.json, pyproject.toml or requirements.txt) allows. Latest = the npm "latest" tag or the newest PyPI release. TypeScript, the Stripe SDK, FastAPI and other 0.x packages are shown but not counted in the verdict.
What's in the stack
- Framework
- Streamlit
- API layer
- Pydantic
Detected from declared dependencies. A listed package means it's installed, not necessarily fully wired up.
What the README says you get
- AILLM relevance filter
an LLM yes/no relevance check
- AIGrounded conversational QA
answers are grounded in retrieved nodes only
- AIllama.cpp OpenAI API
llama.cpp `llama-server` over its OpenAI-compatible `/v1` API
- AILocal embeddings endpoint
Embeddings need pooling enabled (`--embeddings`)
- APISemantic Scholar search
Semantic Scholar bulk search (or a built-in mock corpus in debug mode)
- DataRAPTOR summary tree
cluster chunks, summarize clusters, repeat until one root
- DataFAISS tree retrieval
retrieve from the full tree via FAISS
- DeployDocker deployment
The app container defaults `LLAMA_CPP_BASE_URL` to `http://host.docker.internal:8080/v1`
- DeployDocker compose LLM profile
Optional compose profile `llm` starts `ghcr.io/ggml-org/llama.cpp:server`
- OtherPDF report export
academic-style PDF report, pipeline Mermaid diagram, and a bibliography
- OtherMermaid diagram export
pipeline Mermaid diagram
- OtherBibliography export
a bibliography of kept and discarded papers
- TestingOffline test suite
The default suite is offline
- UIStreamlit interface
Streamlit is only the UI
Extracted from the kit's README by a local AI model (deepseek-flash) on Sep 29, 2026. Every item is checked against an exact README quote. A README claim is the maker's description, not something we tested.
Watch deepsearch-academic
Get told if it goes dormant, gets archived, falls further behind on a core dependency, or changes its license or price.
History
Sep 29, 2026 → Oct 19, 2026. One square per check, colored by maintenance status. Hover for details.
Show as a table
| Date | Maintenance | Dependencies | Commits (90d) |
|---|---|---|---|
| Oct 19, 2026 | Steady | 2+ majors behind | 3 |
| Oct 12, 2026 | Steady | 2+ majors behind | 3 |
| Sep 29, 2026 | Steady | 2+ majors behind | 3 |
Sources
Every claim on this page comes from these public records, checked . Open them to verify.
- Commit history ↗ default branch (main) at the checked commit: pulse, contributors, last commit
- Releases ↗ latest release
- pyproject.toml ↗ declared dependency versions and stack (at commit 1a88073)
- requirements.txt ↗ declared dependency versions and stack (at commit 1a88073)
- README ↗ quoted features at the checked commit
- PyPI ↗ latest versions of Python packages (each linked in the table above)