100% Secure, Self-Hosted RAG Stack

Your Private AI Workspace

Take complete control of your data. BetterBee lets you ingest private documents, build localized vector databases, and run queries using ultra-fast cloud LLMs with absolutely zero data leakage. Fully optimized to run on low-resource environments.

RAG Pipeline Monitor
system_active
01

Document Uploaded

User uploads Q3_Financials.pdf to workspace.

Ingesting to AWS S3 Private Bucket...
02

Local Document Parsing

FastAPI extracts and chunks text using background tasks.

03

Vector Store Ingestion

ChromaDB vector database stores the generated embeddings.

04

Secure Query Response

Groq LLM generates final answer using retrieved context.

0%

AI Model Training Leakage

No data is sent to external training datasets.

< 0.6s

Free Tier Server Boot Speed

Optimized lazy loading prevents boot OOMs.

~270 MB

Runtime In-Memory Footprint

Comfortably runs under the 512MB Render limit.

100%

File & Vector DB Ownership

All indexes are saved directly in your control.

Engineered for Privacy, Speed, and Efficiency

We stripped out the heavy dependencies and rebuilt the pipeline to fit low-resource servers without removing core functionality.

Local HuggingFace Embeddings

Generate vectors offline using `all-MiniLM-L6-v2` directly inside the Python process. Completely free and secure.

Bypass Reranker Settings

Save 180MB+ of RAM by choosing the lightweight Bypass Reranker option (`RERANKER_PROVIDER=none`), avoiding model bloat.

FastAPI Background Ingest

No paid Celery worker services needed. All files are split and ingested in background thread tasks safely.

AWS S3 Private Storage

Uploaded files are securely stored in your private AWS S3 bucket, retrieved temporarily using pre-signed links.

PgBouncer Compatibility

Prepared statement cache disabled for `asyncpg` to guarantee database stability under transaction pooling.

Ultra-Fast Groq Integration

Leverages the Groq API to query state-of-the-art models like Llama-3 in milliseconds for zero local LLM RAM overhead.

How Your Data Remains 100% Private

BetterBee isolates documents and database indexes within your private workspace.

1

1. Isolated Upload

Documents are uploaded directly from your browser to your private S3 bucket. No third-party servers ever read the file keys.

2

2. Encrypted Parsing & Embedding

Your self-hosted FastAPI server downloads and splits the file. Embedding vectors are generated locally or via secure API endpoints.

3

3. Local Vector Storage

Embeddings are indexed locally in ChromaDB and mapped directly to your workspace. They never leave your private server database.

4

4. Anonymized LLM Prompts

Queries fetch matching context from ChromaDB. Only the raw context and question are sent to the Groq API, with strict privacy switches to prevent data logging.

Secure Your Knowledge Base Today

Self-host BetterBee on Render, Railway, or fly.io and experience private document intelligence with zero overhead.