AI · Retrieval & agents
AI Infrastructure
Production RAG, agents and evaluation harnesses.
OPERATING FLOW
8 stages
MODULES
4 product modules
INTEGRATIONS
6+
DEPLOY
Vercel · AWS · Supabase
PROBLEM
Teams keep rebuilding chunking, retrieval, grounding and evals from scratch — and keep hitting the same hallucination and observability walls.
OPERATING SYSTEM
A typed retrieval service with ingestion, hybrid search, grounded generation and per-tenant evals baked in.
WORKFLOW
From lead to
outcome.
01
Ingest
02
Chunk
03
Embed
04
Retrieve
05
Re-rank
06
Ground
07
Cite
08
Answer
PRODUCT MODULES
The system, module by module.
01
Ingestion
URL, file and connector ingestion with metadata extraction.
02
Retrieval
Hybrid BM25 + vector with a re-ranker.
03
Answer synthesis
Grounded generation with inline citations.
04
Evaluation
Golden sets, LLM-judge scoring and regression alerts.
INTEGRATIONS
AN
AnthropicOP
OpenAIPG
pgvectorSU
SupabaseS3
S3SL
SlackBENEFITS
- Grounded answers with citations
- Evals from day one
- Per-tenant isolation and PII redaction
- Drop-in JavaScript client
RELATED WORK