FinSight-AI
AI equity research agent with resilient workflows and pgvector RAG
GraphCanon updated 3w · GitHub synced 3w
Decision brief
FinSight-AI is an AI equity research tool emphasizing resilient workflows using Redis Lua single-flight and pgvector RAG. It supports versioned reports, evidence tracing, and evaluation of retrieval-augmented generation.
Good fit when
- Use FinSight-AI for financial research requiring strong workflow resilience managed by Redis Lua single-flight functionality.
- Consider this tool when you need robust support for the pgvector database in RAG setups alongside PostgreSQL.
Avoid when
- Avoid using FinSight-AI if your project does not benefit from integration with pgvector or requires a different RAG technology stack.
- This tool may be unsuitable if you are looking for an AI equity research solution that does not support advanced features such as versioned reports and evidence tracing.
Observed Jul 17, 2026 · Source: enrich:decision_facts
Verify the decision
Maintenance and security
Full trust report- Maintenance
- Very active (1d since push)
- As of 3w
- Provenance
- Not a fork · Personal account
- As of 3w
- Security (OSV)
- No lockfile
- As of 1mo
Public GitHub metadata and optional OSV scans. Signals, not a guarantee. Trust methodology.
Install
git clone https://github.com/juanjuandog/FinSight-AISimilar tools
Same-category neighbours. No typed graph edges are catalogued for this tool yet.
Evidence and technical details
Sourced facts, taxonomy, compatibility claims, README excerpt, and machine-readable endpoints.
Overview
FinSight-AI is an AI-driven tool for financial research with advanced workflow resilience, backed by Redis Lua single-flight, pgvector for RAG support, along with features for versioned reports, evidence tracing, and RAG evaluation.
Capability facts
- Deploy
- Self-host
Source: dockerfile:docker-compose.yml · Jul 28, 2026
- Docker
- Dockerfile present
Source: dockerfile:docker-compose.yml · Jul 28, 2026
- Languages
- java
Source: github.language · Jul 28, 2026
Categories
Tags
README
3. Run without Docker
For a lightweight local backend using in-memory repositories:
cd backend
mvn spring-boot:run
open http://localhost:8080
For agents
This page has a .md twin and JSON over the API.