How analysts can build a custom RAG pipeline with the Bigdata.com SDK to ground AI-driven insights in live financial news — using climate policy and the 2024 U.S. election as a working example.
Using the Bigdata.com SDK, analysts and fintech teams can build a custom RAG pipeline that brings live financial news directly into AI-driven insights. Thus, they can stay ahead of policy-driven market shifts by grounding decisions in insights from live financial news.
This is essential for investors, strategists, and analysts who need to make fast, evidence-backed decisions.
Use case example: climate change & the 2024 U.S. election
Objective
Use Bigdata.com's RAG pipeline to understand how climate-related policy positions in the 2024 U.S. presidential election may impact sectors like green energy, ESG investing, and global trade.
Why it matters
Climate policy shifts influence:
Green tech investments
Carbon markets and pricing
Global ESG regulation
Foreign investment risk in emerging markets
In the lead-up to the 2024 election, financial markets were watching for signals. A potential reversal of U.S. commitments to climate goals or ESG frameworks meant a reshape of investment strategies globally.
The solution with Bigdata RAG
1. Retrieve relevant financial news. Use semantic search with the Bigdata SDK to pull recent news related to climate and the 2024 election. For example:
“A Trump presidency would certainly represent a negative outcome for South Africa and the rest of Africa,” said Mteto Nyati, noting reduced U.S. investment would slow growth agendas across developing regions. — [Document ID: 43CE65FB8CA2D8D99F82BF40C8BBA374]
2. Structure the data. Convert retrieved news into XML-tagged chunks with document metadata. This enables precise citations and auditability.
3. Generate an answer with citations. Feed the news chunks into an LLM (e.g. GPT-4o-mini) to produce a well-structured response: “A potential reversal of the Paris 2050 agreement under a Trump presidency could weaken global climate commitments, particularly affecting multinational investment flows.” [43CE65FB8CA2D8D99F82BF40C8BBA374, chunk 9, date 2024-10-01].
4. Trace sources. All statements are traceable with clickable links to the original documents on Bigdata.com.
Technical stack
Data source: Bigdata.com financial news archive
Search: Similarity-based semantic retrieval
LLM: OpenAI GPT-4o-mini
Output: Markdown with embedded citations
Cost: ~$0.00097 per query
Ideal for
Hedge funds and asset managers monitoring political risk
ESG research teams tracking environmental policy
Corporate strategy groups scanning for macroeconomic threats
AI/ML teams building compliant RAG-based applications
Sample query
Question: What impact will climate change policy have on global markets if Trump wins the 2024 U.S. election?
Sample response:
“Climate policy shifts could trigger a pullback from the Paris Agreement, undermine green investment incentives, and reduce U.S. foreign engagement — especially affecting regions like Africa that rely on climate-linked capital and trade.” [43CE65FB8CA2D8D99F82BF40C8BBA374, chunk 5].
Ready to build your own financial news RAG? Follow our step-by-step guide to start building.
