RAG PIPELINE V2.0

Give Your AI
Perfect Memory.

Enterprise-grade RAG pipelines in a box. Connect your data sources, we handle chunking, embedding, and vector storage in your VPC.

Ingest

Connect connectors like Notion, Slack, Google Drive, and SQL.

Step 01

Process

Smart chunking (recursive, semantic) and metadata extraction.

Step 02

Vectorize

Embed text using models like OpenAI, Cohere, or HuggingFace.

Step 03

Retrieve

Hybrid search (Keyword + Semantic) with re-ranking.

Step 04

Unified Data Plane

Stop building custom scrapers. Our universal connector API brings all your enterprise data into one searchable index.

Managed Vector DB

We spin up and manage Milvus, Qdrant, or pgvector instances for you.

Hybrid Search

Best of both worlds: keyword precision matches + semantic understanding.

Active Data SourcesSyncing
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Company Wiki
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Slack #general
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Engineering Docs
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Sales CRM
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Product Specs
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Support Tickets
Vector Index Size1.2M Vectors

Supported Technologies

PineconeMilvusQdrantWeaviatepgvectorElastic