JNS-JIA-01

JIA

Connects documents, tasks, knowledge and client workflows.

Revision
0.4
Status
beta
Updated
2026-10-15
Values
sample data

1 Overview

JIA is a retrieval-augmented assistant that answers questions over a client's own documents and task history, then acts on them through tools. Every answer is grounded in retrieved sources and every action is logged.

Follow a recorded run of JIA →

2 Block diagram

  1. 01IntentClassify: question, action or both
  2. 02RetrieveHybrid search: vectors + keywords
  3. 03RerankCross-encoder keeps the best 8 chunks
  4. 04ToolsTask lookup and updates when needed
  5. 05GenerateAnswer with inline citations
  6. 06VerifyCheck every claim maps to a source

3 Pin-out

  • QUERYtextNatural-language question or instruction
  • DOCSpdf · md · htmlClient documents, chunked and embedded on upload
  • TASKSapiTask and project state from connected tools
  • ANSWERtext + citationsGrounded response with source references
  • ACTIONStool callsCreated or updated tasks, logged for audit
  • TRACEjsonFull step-by-step record of the run

4 Specifications

ParameterValueNotes
Latency p501.8 send-to-end, first token at 0.6 s
Latency p954.2 s—
Cost per answer€0.004median, incl. retrieval
Context window200k tokens—
Retrieval depthtop-40 → rerank → top-8—
Grounded answers96 %internal eval, n = 250
LanguagesEN · DE · ES · FR—

5 Stack

Models
Claude (generation)Embedding modelCross-encoder reranker
Data
Postgres + pgvectorObject storage for source files
Runtime
TypeScriptNext.js route handlersBackground job queue
Observability
Per-step tracesEval suite on every prompt change

6 Limits

7 Across the network