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Drive enterprise transformation with
Semantic Search
Go beyond keywords to uncover relevant documents, insights, and answers.
Hybrid Vector Search
Search "indemnification cap on IP claims" or "breach notification timelines" and get the right contracts and policies, even when those exact words never appear. Vector and keyword ranking work together, so precision and recall improve at the same time.
What Your Team Actually Gets
Answers in seconds, not hours
Find the right clause, policy, or precedent in one query instead of opening twenty documents.
Permission-safe results
Search results are filtered by your access rights at query time — confidential records never surface to unauthorised users.
No migration required
Federated indexing reaches your existing storage systems so search works day one without moving files.
Every format covered
PDFs, Office files, scanned images, audio transcripts, and video metadata are all indexed and searchable from one bar.
How Enterprises Use TeamSync Every Day
Law firm finds precedent across 15 years of case files in under 30 seconds
Associates search by concept — "force majeure energy sector" — and retrieve relevant clauses from thousands of historical contracts without opening each file manually.
Compliance team surfaces all MiFID II references across policy corpus in one query
Rather than manually reviewing 800 policy documents, the compliance team runs a single semantic query and gets a ranked list of every relevant section — permissions-filtered to their access level.
Engineering team searches 30 years of inspection reports by equipment type and defect class
Federated semantic search spans the legacy ECM and the new repository simultaneously, surfacing inspection findings across formats from PDF reports to scanned paper records.
Semantic Search FAQs.
Let's clear things up.
We know — vector search, embeddings and relevance tuning can feel overwhelming. TeamSync brings it together into one search experience.
Whether your content lives in the repository, a legacy archive or a connected system, we are here to make finding it simple and fast.
Enterprise search indexes the systems your organisation already runs and returns results filtered by each user's access rights. The semantic version ranks by meaning rather than literal word overlap, so a query finds the right document even when the wording differs.
Vector search is one component. TeamSync combines vector similarity with keyword matching and an entity graph, so precision and recall improve together. RAG is a different job - it feeds retrieved passages to a model to generate an answer, which is what DocuTalk does.
No. Federated indexing reaches your existing storage systems, so search works across legacy archives and the new repository at the same time without a migration project.
Yes. Meaning-based matching is less dependent on exact wording than keyword search, and OCR coverage extends it to scanned material. Language coverage depends on your deployment configuration - confirm the set you need during scoping.
Synonym sets, boosted metadata fields and per-workspace ranking rules let you teach search the vocabulary your industry uses, so an internal shorthand returns the same results as the formal term.
30 minutes with a solutions engineer who already speaks your industry.
No pitch deck. We will either show you a clear path forward or tell you we are not the right fit. Bring the toughest question on your desk this week.