Systems registry
public-buildgithub

StockIntellect Retrieval System

Turns financial/news URLs into a searchable retrieval memory for source-grounded question answering.

Article URLs
Content Loader
Text Splitting
Embeddings
FAISS Index

system visual

Protected or source media unavailable. Architecture preview used instead.

System Overview

RAG-style stock news research tool using URL ingestion, OpenAI embeddings, FAISS, and sourced answers.

Public system build.

Implementation Signals

StreamlitLangChainOpenAI embeddingsFAISSPythonRAG

System flow

A compact view of how inputs move through processing, orchestration, validation, and output.

01

Article URLs

02

Content Loader

03

Text Splitting

04

Embeddings

05

FAISS Index

06

Sourced Answer

Engineering decisions

Decision Record

Return answers with source URLs

Problem: Financial research systems need traceability.

Approach: Use retrieval and source URLs as part of the answer workflow.

Tradeoff: The answer quality depends on source quality and chunking.

Outcome: More transparent market/news research behavior.

Results / Learnings

Retrieval

README confirms OpenAI embeddings and FAISS indexing.

Output

Answers include source URLs.

Progressive depth

This page keeps the outcome and architecture visible first. Implementation stack, decisions, constraints, and media are available below so technical depth is opt-in rather than forced.

Adjacent systems