run-llama/sec-insights
A real world full-stack application using LlamaIndex observed · 2026-08-28
Health v2 · maintenance only
33/100
- Activity 11
- Release rhythm 35
- Longevity 78
Flags: no_releases
How is this computed?
round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10) — computed 2026-09-02. Adoption (stars, forks) is never an input.
- gap_med: n/a
- age_days: 1093
- days_rel: n/a
- days_push: 539
- n_releases_24m: 0
Adoption not part of the score
2609 stars · 694 forks observed · 2026-08-28
What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded
SEC Insights is a full-stack reference application built by LlamaIndex that uses RAG to answer questions about SEC 10-K and 10-Q financial documents. It features a React/Next.js frontend with a PDF viewer and citation highlighting, plus a FastAPI backend with streaming LLM responses and tool-based quantitative answers.
Use cases
- ask questions about SEC 10-K and 10-Q filings
- build a production RAG application from a reference codebase
- chat with multiple financial documents simultaneously
- view paragraph-level citations with PDF highlighting
- deploy a full-stack LLM app to Vercel and Render
- learn how to stream LLM responses with server-sent events
When to choose
- you want a complete real-world example of a production RAG application
- you need document Q&A with source citations over PDFs
- you want to fork a solid foundation for your own LlamaIndex-based app
- you need multi-document comparison chat with reasoning step streaming
When to avoid
- you need a lightweight library to embed in an existing app rather than a full application
- your documents are not financial filings and you don't want to adapt the ingestion pipeline
- you need on-premise LLM inference without API-based models or tools
Facets
application · maturity active
rag chatbot llm-inference pdf-viewer web-framework api-framework search-engine large-language-models fintech pdf web-development artificial-intelligence self-hosted python cross-platform llamaindex sec-filings financial-documents nextjs fastapi citation-highlighting streaming full-stack-example vercel render retrieval-augmented-generation web-server docker nodejs
2 sources
- readme: https://github.com/run-llama/sec-insights · fetched 2026-08-28 · eb49696aa471
- homepage: https://www.secinsights.ai/ · fetched 2026-08-29 · 04bf41731f7c
Member repositories
| Repository | Role | Health v2 |
|---|---|---|
| run-llama/sec-insights | main | 33 |
For agents
markdown · JSON · MCP: product_card(name="run-llama/sec-insights")
Data as of 2026-08-30T08:39:29.467469+00:00 · Report a problem