Enterprise RAG PlatformBuild AI that knows
your business.
Vectalk.ai is a production-grade RAG platform for teams that need governed, role-aware AI answers whether you are an enterprise protecting regulated data or a SaaS team shipping an intelligent product.
Available as a managed cloud deployment, on-premises install, and on leading AI marketplaces.
Jane Doe
Compliance Analyst
Monday Morning Brief
Runs every Monday 8:00 AM
End-of-Week Compliance Summary
Runs every Friday 4:00 PM
Vendor Contract Renewals — Monthly
Runs on 1st of each month
From regulated enterprises to fast-moving product teams Vectalk fits how you build.
Your data exists. Your AI cannot use it safely, accurately, or at scale.
Whether you are an enterprise managing compliance documents or a startup shipping an AI feature, the underlying problem is the same: getting AI to reliably retrieve and reason over your specific data without hallucination, without governance gaps, and without months of infrastructure work.
Scattered, Unstructured Data
PDFs, portals, databases, emails, Markdown files your knowledge is everywhere and queryable by nothing.
Wasted Engineering Hours
Teams burn sprints stitching together chunking, embeddings, and retrieval pipelines that break in production.
Fragile DIY RAG
Homegrown pipelines fail silently wrong answers, missing context, no way to evaluate or improve quality.
No Governance Layer
Without role-aware retrieval, audit trails, and access controls, AI answers become a compliance liability not an asset.
Connect any data source.
Vectalk ingests structured and unstructured data from databases, object storage, and document formats. Every source lands in one governed retrieval layer queryable via API or chat interface.
Databases
File Formats
Every connected source is chunked, embedded, and indexed automatically. No pipeline configuration required.
One pipeline. Any data. Governed answers.
Vectalk handles the full RAG stack ingestion, chunking, embedding, retrieval, reranking, and generation. You query. We govern.
Ingest from Any Source
Point Vectalk at databases, file stores, or document collections. Mistral OCR handles scanned PDFs. Everything is semantically chunked and indexed automatically. Available as API or managed connector.
Embed, Index, Rerank
Documents are embedded into PGVector using codestral-embed. A cross-attention reranker layer (Cohere or BGE) ensures only the highest-precision chunks surface per query — killing the hallucination problem at the source.
Role-Aware, Cited Answers
Every query is filtered by the user's role and permissions before generation. Mistral-large returns grounded answers with chunk-level citations and a tamper-evident log of every retrieval event.
Model-agnostic by design. Easily switch between different providers without changing your integration. Deploy on the cloud or run fully on-premises.
Everything your team needs. Nothing you have to build yourself.
Whether you are shipping a SaaS feature or governing enterprise knowledge Vectalk replaces months of infrastructure work with a single, production-ready retrieval layer.
Any Data Source, One Layer
PostgreSQL, MongoDB, S3, PDFs, Excel, Markdown — all sources unified into one queryable retrieval layer accessible via API.
Modular Model Stack
Swap OCR, embedding, reranking, and generation models without rewiring your integration. Mistral, OpenAI, BGE, Cohere — all plug-in compatible.
Role-Aware Retrieval
Chunk-level RBAC. Each user retrieves only what their role permits. Works out of the box for both SaaS multi-tenancy and enterprise access control.
Tamper-Evident Audit Trail
Every query, every retrieved chunk, every generated answer is logged and immutable. Exportable for compliance review or internal audit.
Cloud and On-Premises
Deploy on AWS in days or run fully on-prem for regulated industries where data cannot leave the building. Same API surface, both modes.
Built-In Pipeline Evaluation
Continuous RAGAS scoring across faithfulness, relevance, and retrieval quality. Know when your pipeline degrades before your users do.
One platform. Multiple use cases.
Vectalk fits where precision retrieval matters from regulated enterprise workflows to SaaS products shipping AI as a core feature.
Healthcare and Pharma
PHI-sensitive retrieval, clinical SOP queries, role-filtered access. On-prem deployment for data that cannot leave the facility.
Government and PSU
NIC / MeitY-aligned cloud or air-gapped on-prem. Policy document Q&A, inter-departmental knowledge retrieval. Active Gujarat pilot running.
FinTech and NBFC
Loan file intelligence, compliance Q&A, RBI-aligned access controls. Instant answers from regulatory documents with full audit proof.
SaaS Products Shipping AI
Embed a governed Q&A layer into your product via API. Multi-tenant RBAC, source citations, and evaluation built in — no RAG infrastructure to maintain.
Developer and Data Platforms
Power search, knowledge retrieval, or documentation Q&A inside your platform. Plug into your existing stack via REST or Python SDK.
Startups Skipping the Build
Skip the months of RAG infrastructure work. Get production-grade retrieval from day one and focus engineering time on your actual product.
Your deployment. Your rules.
Cloud Deployment
- Managed infrastructure on AWS
- Zero DevOps overhead
- SOC 2-aligned architecture
- Up and running in days
On-Premises Deployment
- Data never leaves your building
- BGE-M3 + Mixtral local models
- NIC/MeitY compliant
- Full air-gapped capability
Why teams choose Vectalk over building it themselves
The real cost of DIY RAG is not the first sprint it is every sprint after that. Vectalk replaces the fragile middle layer so your team ships product, not plumbing.
| Feature | DIY RAG Pipeline | Generic LLM APIs | Vectalk.ai |
|---|---|---|---|
| Production-Ready Pipeline | Fragile | Limited | Enterprise-grade |
| Role-Aware Retrieval | Not included | Not included | Chunk-level RBAC |
| Audit Trail | None | None | Tamper-evident logs |
| On-Premises Support | Possible | Cloud-only | Full on-prem track |
| Reranking Layer | DIY | Not included | Cohere/BGE built-in |
| RAGAS Evaluation | DIY | None | Continuous scoring |
| Model Flexibility | Partial | Vendor lock-in | Fully modular |
| Time to Production | Months | Weeks (fragile) | Days (governed) |
| Marketplace / Self-Serve Available | N/A | Partial | Yes — cloud and marketplace |
| SaaS Multi-Tenant Support | Manual build required | Not included | Built-in via RBAC layer |
In production, in pilots, and on the marketplace.
From fabric factories to financial services and now available as a managed product for SaaS teams. Vectalk ships with real clients, not demo environments.
Fabric Manufacturing
On-Prem Vectalk — AI-powered document intelligence solving live production floor problems.
Energy Sector
Cloud Vectalk — Policy management, compliance documentation, operational knowledge retrieval.
PSU Chemical Factory
On-Prem Vectalk — Internal document intelligence and AI analytics for a public sector facility.
NBFC / Financial Services
DripDash RBAC deployment — role-aware access for regulated financial environments.
Available on AI Marketplaces
Vectalk is available as a managed product on leading AI and cloud marketplaces. Designed for SaaS teams that want governed RAG without the infrastructure lift.
Start with what you are building
we will fit.
Enterprise team evaluating governed RAG for a regulated workflow? Startup that wants production retrieval without the infrastructure debt? SaaS team building an AI feature and need a reliable knowledge layer?
Tell us where you are. We will respond within 24 hours with a path that fits your stack, your timeline, and your budget.