01
Hybrid retrieval
Lexical + semantic + reranking, with citations.
Agentic AI Solutions
Knowledge & Research AgentsRAG agents that cite, not hallucinate.
RAG agents over your private corpus — wiki, Confluence, drive, Notion, DB. Hybrid retrieval, citations, re-indexing on edit, scope-locked per tenant.
94%
Citation rate
<6 hrs
Drift to fresh
100%
Tenant isolation
+19pp
Accuracy
Knowledge & Research Agents is part of Abstriq's agentic ai solutions practice — one of four verticals run by our senior team in Noida, India. Production-grade AI agents — assistant copilots, multi-agent orchestrations, vertical workflows, and tool-using systems wired into your stack. We build knowledge & research agents systems that are production-ready from day one: observable, tested, and documented, with a named senior architect on the engagement and four weeks of hyper-care after go-live. Our work spans India and global clients in the US, UK, UAE, and Singapore. Talk to a senior architect to scope your build in 48 hours.
Trusted by enterprises
Aaj Tak◆
Times of India◆
BJP◆
Beyond Reach Premiere League◆
Red Fm◆
Wellness Fuel◆
Junior Cricket Championship◆
ON Energy◆
ORYZO AI◆
Nursing Sarathi◆
Baatshala Ai◆
The Traffic People◆
Aaj Tak◆
Times of India◆
BJP◆
Beyond Reach Premiere League◆
Red Fm◆
Wellness Fuel◆
Junior Cricket Championship◆
ON Energy◆
ORYZO AI◆
Nursing Sarathi◆
Baatshala Ai◆
The Traffic People◆
Aaj Tak◆
Times of India◆
BJP◆
Beyond Reach Premiere League◆
Red Fm◆
Wellness Fuel◆
Junior Cricket Championship◆
ON Energy◆
ORYZO AI◆
Nursing Sarathi◆
Baatshala Ai◆
The Traffic People◆
Service overview
Engineering knowledge & research agents
Knowledge agents that answer employee / customer questions over your wiki, Confluence, drive, Notion, DB — with citations, recency awareness, scope-locked per tenant. Continuous re-indexing on edit so answers don't go stale the day after the agent is built.
Hybrid retrieval: lexical + semantic + reranking. Above-threshold confidence requires citation; below-threshold escalates to human.
Practice signalsSenior-ledWeekly demosCode review on every PRProduction on-call
01
94%
Citation rate
Top tier
02
<6 hrs
Drift to fresh
Webhook-driven
03
100%
Tenant isolation
Scope-locked
04
+19pp
Accuracy
Hybrid vs vector-only
Business challenges we solve
What keeps teams shipping knowledge & research agents.
RAG that hallucinates because drift > accuracy
Knowledge bases going stale on day two
Answers that don't cite, so users don't trust them
Shared knowledge bases leaking across tenants
Latency budgets impossible with naive RAG
No eval coverage on factual recall
Why choose this service
Three senior-led practice lines.
Outcome-anchored, owned by a practice lead with clear accountability, weekly demos, and the kind of code review culture you'd build internally if you had a year.
02
Continuous indexing
Webhook-driven re-indexing on edit.
03
Per-tenant scope
Scope-locked retrieval, audit trail.
Key features
What ships, by default in every engagement.
F·01
Corpus ingestion
Wiki, drive, Notion, Confluence, DB, custom sources.
F·02
Hybrid retrieval
BM25 + vector + reranking, with citations.
F·03
Recency logic
Re-index on edit, decay-to-fresh, time pin.
F·04
Citations
Required above 0.7 confidence; live SERP preview.
F·05
Per-tenant scope
Scope-locked retrieval, RBAC bridge.
F·06
Eval harness
Factual recall + drift, regression in CI.
Benefits & business outcomes
Numbers senior clients measure.
Citation rate
Top tier
94%
Outcome · 01
Drift to fresh
On edit, hours not weeks
<6 hrs
Outcome · 02
Tenant isolation
Scope-locked retrieval
100%
Outcome · 03
Development process
Senior squads. Tight loops. Code every day.
01
Week 1Corpus audit
Map sources, ownership, refresh cadence.
02
Week 2–3Ingestion + retrieval
Hybrid indexing, score-per-source, refresh hooks.
03
Week 4–6Build + eval
Eval suite, citations, scope-locked per tenant.
04
OngoingOperate
Drift dashboard, refresh hooks, monthly tuning.
Technologies we use
The stack we ship in production.
Layer · 01
Retrieval
PineconeWeaviate
Qdrant
pgvector
Layer · 02
Sources
Notion
Confluence
Drive
S3
Layer · 03
Eval
Braintrust
Langfuse
Custom factual eval
Industries we serve
Verticals where we've shipped, not where we dabble.
V·01
Enterprise IT
Wiki, runbooks
Signal94% Citation rate
V·02
Legal
Case law, contracts
Signal<6 hrs Drift to fresh
V·03
Healthcare
Clinical, policy, formulary
Signal100% Tenant isolation
V·04
Manufacturing
Manuals, SOPs
Signal+19pp Accuracy
V·05
Education
Curriculum, research
Signal94% Citation rate
V·06
Finance
Compliance, regulations
Signal<6 hrs Drift to fresh
Why Abstriq
Built for teams who ship fast in production.
We're not a body shop or a freelance marketplace. We run a senior-heavy engineering org with clear practice leads, real code review, and real on-call coverage.
Signal
94%
Citation rate
Signal
<6 hrs
Drift to fresh
Signal
100%
Tenant isolation
Signal
+19pp
Accuracy
Vertical AI, not just LLMs
We build agents that actually move numbers — wired into your systems, your data, your workflows.
Ship in weeks, not quarters
Small senior squads, tight feedback loops, code-merge every day, demo every week.
Industrial-grade rigor
From PLCs to SOC2 — production safety, observability, and resilience baked in.
One team across four worlds
Web, mobile, AI, and industrial under one roof — no vendor ping-pong.
FAQs
The questions we hear most.
If yours isn't here — ping us and we'll reply with specifics on your stack.
01Hybrid vs vector-only retrieval?
Hybrid (BM25 + vector + rerank) wins on factual recall. Vector-only hallucinates on entity names, codes, IDs.
02How fast does the index refresh on edit?
Webhook-driven within minutes. Recency decay logic in retrieval — fresh wins over stale at equal relevance.
03Multi-tenant scope?
Per-tenant retrieval scopes, RBAC bridge, audit trail. No leakage between tenants even within shared storage.
04Eval coverage?
Factual recall suite with ground-truth answers, monthly eval runs, regression in CI before merge.
Related services
Other practices inside Agentic AI Solutions.
Free consultation
Ready to ship knowledge & research agents?
Tell us the problem — proposal in under 48 hours. NDA-friendly by default, senior-led, and we typically walk you through a proof-of-concept before the engagement closes.
Reply in 24hNDA-friendlySenior-ledProduction on-call