Overview
A production-style, two-stage Financial RAG architecture analyzing SEC 10-K reports. Features an evaluation sandbox (RAGAS) and an asynchronous, containerized FastAPI backend powered by Gemini Flash and ChromaDB.
Pricing
Free
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Use Cases
- Teams use the Laboratory core to benchmark retrieval strategies and determine optimal chunk sizes before production.
- Teams use the custom LLM-as-a-Judge to score faithfulness and answer relevancy of generated responses.
- Teams use the production runtime to serve concurrent users with sub-second retrieval latency.
- Teams use the stateful query rewriting to resolve coreferences in multi-turn conversations.
- Teams use the trace attribution UI to audit latency, cross-encoder scores, rewritten queries, and retrieved snippets.
- Teams use the idempotent ETL pipeline to prevent ChromaDB duplication and improve vector search accuracy.
Features
Analyzes SEC 10-K financial reports
Uses a two stage RAG architecture
Retrieves content with BAAI embeddings
Stores vectors in ChromaDB
Evaluates responses with RAGAS
Serves requests through asynchronous FastAPI
Packages deployment with Docker Compose
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