Teenva AI & Digital Ventures builds RAG enterprise search for enterprises, IT departments, and SaaS vendors from Bangalore, India. Employees ask questions in natural language—"What's our data retention policy?", "Similar tickets for payment timeout"—and get hybrid search results plus cited answers from Confluence, SharePoint, Google Drive, Notion, Jira, and helpdesk exports—respecting document-level permissions so users only see what they already access.
Default intranet search returns blue links; staff still ping experts on Slack. Teenva implements connectors, chunking, vector + keyword hybrid retrieval, and grounded generation—deployed as search bar, Q&A panel, or API inside your custom portal.
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RAG enterprise search—connectors, hybrid retrieval, ACL filters, and cited Q&A for your internal knowledge.
What enterprise search delivers
| Mode | User experience | Best for |
|---|---|---|
| Keyword + semantic search | Ranked snippets with highlights | Known terminology |
| RAG Q&A | Natural language answer + source links | How-to and policy questions |
| Similar doc / ticket | "Find like this incident" | Support and engineering |
| Summarize doc (scoped) | Executive summary with citations | Long PDFs, contracts |
| API / embed | /search and /ask in your app | Product vendors |
All modes filter by user ACL at query time—not after the LLM answers.
Sources we connect (scoped)
Connectors sync on schedule; incremental updates when docs change.
| Source | Content |
|---|---|
| Confluence / Notion | Wikis, runbooks, product specs |
| SharePoint / OneDrive | Office docs, policies |
| Google Drive | Shared drives, sheets (scoped) |
| Jira / Linear | Issues, comments, resolutions |
| Zendesk / Freshdesk / Zoho Desk | Tickets and macros via Zoho integration |
| Slack export (scoped) | Approved channels archive |
| S3 / blob uploads | Batch PDF ingest |
| Custom DB / CMS | API integration for bespoke sources |
Custom AI chatbot · AI knowledge base · AI solutions
Retrieval stack
| Layer | Purpose |
|---|---|
| Ingestion | Parse PDF/DOCX/HTML; chunk with overlap; metadata (title, author, ACL) |
| Embeddings | Multilingual vectors (scoped) |
| Keyword index | BM25 / OpenSearch for exact matches |
| Hybrid fusion | Combine semantic + keyword ranks |
| Reranker (scoped) | Cross-encoder for top-k precision |
| ACL filter | Drop chunks user cannot read |
| LLM answer | Grounded synthesis with mandatory citations |
| Refusal | "Not found in your docs" when confidence low |
Features we implement
Admin console — connector status, reindex, chunk preview
SSO — SAML/OIDC; groups map to ACL roles
Slack / Teams bot (scoped) — /ask in channel with thread reply + links
Intranet widget — embed on business website or portal
Feedback loop — thumbs down → content gap queue
Eval harness — 100+ golden Q&A; citation must match source
PII redaction (scoped) — mask patterns in indexed text
On-prem / VPC — data never leaves your boundary
Multi-tenant (scoped) — SaaS vendors serving many clients
RAG enterprise search vs platform siblings
| Product | Focus |
|---|---|
| RAG enterprise search (this page) | Search + cited Q&A over many enterprise sources |
| Custom AI chatbot | Customer/employee dialog + tools + handoff |
| AI knowledge base | Curated internal KB lifecycle for ops/HR |
| AI document processing | Extract fields from docs—feeds search index |
| AI agent development | Act across systems—not primary search UI |
Use cases by team
| Team | Search need |
|---|---|
| IT / engineering | Runbooks, incident history, architecture docs |
| Support L2 | Past tickets + macros + product wiki |
| HR / legal (scoped) | Policy handbook with strict ACL |
| Sales enablement | Battle cards, pricing (internal) |
| New hires | Onboarding answers without mentor ping |
| SaaS vendor | "Search your workspace" product feature |
Who uses enterprise search
- IT & engineering
- Support L2
- HR & legal (scoped)
- Sales enablement
- New hires
- SaaS vendors
Permissions are not optional. We index ACL metadata with every chunk—so search results match what SharePoint or Confluence already enforces.
Why Teenva AI for RAG enterprise search
Hybrid retrieval done right
Keyword + vector + rerank—not vector-only demosConnector + app team
System integrations and custom software togetherVertical depth
Patterns from HR helpdesk, accounting chatbot, and operations KB projectsEval-first
Golden sets before production cutoverIndia + global
Multilingual docs, Bangalore delivery
Delivery process
Discovery
sources, SSO, compliance, success metrics
ACL model
map groups to document access
Pilot corpus
one wiki + one ticket export
Ingest + chunk tuning
table and code block handling
Retrieval eval
precision@k on golden questions
Answer eval
citation accuracy, refusal behavior
UI / Slack pilot
50–200 users
Connector expansion
roll out more sources
Operate
reindex cadence, gap content workflow
Slack and Teams /ask (scoped)
Deploy enterprise search where your team already works—thread replies with cited doc links, scoped to channels and ACL roles you approve.
Explore
Related AI platform solutions
Build your RAG enterprise search
Hybrid search and cited Q&A over Confluence, SharePoint, Drive, tickets, and more—with ACL-aware access and eval-first delivery.
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