VEC-* Product Suite
Eight purpose-built modules for embedding, indexing, retrieving, and applying your organisational knowledge at scale.
EmbedForge
High-throughput embedding pipeline supporting 40+ model architectures. Batch processing, GPU acceleration, and automatic model versioning for production ML ops.
SGD 4,200
IndexVault
Managed vector database with HNSW indexing, automatic sharding, and sub-100ms query latency at billion-vector scale. Multi-tenant isolation built in.
SGD 6,800
RetrieveIQ
Hybrid search engine combining dense vectors, sparse BM25, and knowledge graph traversal. Configurable re-ranking with cross-encoder models.
SGD 5,400
RAGFlow Studio
Visual pipeline builder for RAG workflows. Drag-and-drop chunking strategies, prompt templates, and evaluation dashboards — no code required.
SGD 7,200
DocuMesh
Intelligent document ingestion for PDFs, Word, HTML, and scanned images. OCR, table extraction, and layout-aware chunking preserve document structure.
SGD 3,900
AgentBridge
Agentic orchestration layer connecting LLMs to vector stores, APIs, and tools. Plan-execute-observe loops with human-in-the-loop approval gates.
SGD 8,500
SemanticGuard
Content safety and compliance layer for RAG outputs. PII detection, hallucination scoring, citation verification, and audit trail generation.
SGD 4,600
QueryLens
Analytics and observability platform for vector search. Query logs, relevance feedback loops, A/B testing of retrieval strategies, and cost attribution.
SGD 3,200
Need a custom VEC configuration?
Our solutions architects will design a tailored stack from the VEC-* collection for your use case.
Talk to an Architect