RAG Studio & S3 Integration
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RAG Studio & S3 Integration

Securely integrate your enterprise documents into the LLM with S3-backed architecture.

Heart of Technology

RAG Studio turns your enterprise data into AI's greatest asset. Thanks to our S3 integration, your documents stay in your corporate cloud while we index them into our high-performance vector database (Qdrant). When a user asks a question, the system only finds relevant pages and transfers them to the LLM. This both lowers costs and minimizes the risk of hallucination.

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RAG Studio & S3 Integration Platform interface
S3 Supported Doc Storage
Semantic Search (Vector Search)
Source Citations
Custom Knowledge Bases

Use Cases

Secured Document Q&A

Secure querying over confidential financial or technical documents.

Automated Research

Finding and summarizing specific data within thousands of documents.

Compliance Check

Document auditing based on company rules and regulations.

Technical Manual Search

Instant information retrieval from thousands of pages of technical guides for field teams.

HR Policy Advisor

Employees getting document-based info on topics like vacation rights, benefits.

Procurement Optimization

Analyzing price trends from past invoices and contracts.

Medical Records Analysis

Secure research support on patient data and medical documents.

Archival Discovery

Data recovery from archived old records using semantic search.

Competitor Analysis

Making strategic inferences through competitor reports and news.

Education Content RAG

Making educational materials capable of answering student questions.

Technical Details

  • Vector DB: Qdrant / Pinecone / Weaviate
  • Chunking: Semantic & Sliding Window
  • Hybrid Search: Keyword + Semantic
Developer Documentation

7/24 support is included for enterprise license holders.

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