Skip to main content
#KNOWAI

Custom RAG Knowledge Assistants

Chat over your docs, tickets and data, with sources and no made-up answers.

model: custom scope & deployment · contact for quote

~/telemetry/spec
Running
retrieval
hybrid_rag · rerank
sources
docs · tickets · wikis
inference_gate
route·cache·stream
validation
cited_answers_only
Node health0%
○ waitingmeasuring...

~/scope

6 capability modules
01#PIPES

Ingestion pipelines

Docs, tickets, PDFs and wikis flow in automatically and stay fresh.

  • Incremental runs
  • Dedup
  • Freshness
02#VECTORS

Chunking and retrieval tuning

Chunk strategy and reranking tuned until answers cite the right passages.

  • Chunking
  • Hybrid rerank
  • Evaluation
03#SCHEMA

Citations, no invented answers

Every answer links its sources. Unknown questions get an honest handoff, not a guess.

  • Structured output
  • Validation
  • Human hand-off
04#SECURE

Permission-aware access

Users only see what they are allowed to see, enforced at retrieval time.

  • RBAC
  • Scoped access
  • Audit trail
05#TRACE

Evals

Groundedness and relevance scored on every deploy, drift caught early.

  • Evals
  • Tracing
  • Cost telemetry
06#PRODUCT

Widget, Slack or WhatsApp front end

Embed on your site or serve answers where the team already chats.

  • Exports
  • Webhooks
  • Notifications

~/stack

all runtimes production-validated

FOUNDATION

PythonTypeScriptNext.js

REASONING

OpenAIClaudeEmbeddings

FRAMEWORK

LangChainRAG pipelinesHybrid search

STATE CONTROL

pgvectorPineconeRedis cache

BACKEND CORE

AuthRate limitingWebhooks

~/process

4-stage execution pipeline
  1. 01SCOPE

    Which sources the assistant may answer from, and who sees what.

    output:Source map
  2. 02ARCHITECT

    Chunking, retrieval and permission model design.

    output:RAG architecture spec
  3. 03EXECUTE

    Build the pipeline, tune retrieval against real questions.

    output:Working assistant
  4. 04HARDEN

    Evals, citation checks and freshness loops in production.

    output:Quality dashboard

~/work-case-study

linked to live /work routes
~/work/gpt-guiderCurriculum RAG tutor

GPT Guider

Every answer grounded in the curriculum via RAG, streamed fast and cost-controlled per session.

100%Answer grounding
<250msStream start
-62%Cost / session
RAGOpenAIStreamingpgvector
~/action
0+
Years shipping
0+
Products launched
0K+
Users reached
0%
Uptime mindset