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Introduction
Onboarding
Getting Started
Administration
Gateway
- Introduction
- Model Registry
- Knowledge Base
- RAG Endpoints
  - Introduction
  - Endpoints
- Guardrails
  - Introduction
  - Repository
- Prompts
  - Introduction
  - Partials
- Agent
  - Agent Builder
  - Workflows
- Tools
  - Tools
- Memory
  - Memory
- Logs
  - Introduction
Workspace
- Settings
  - Members
  - API Keys
LLM Models
- Overview
Experiments
- Projects
- Results
API Documentation
- Overview
Stripe Integration
- Overview
SDK
Plugins
- FloTorch ADK
- FloTorch CrewAI
- FloTorch AutoGen
- FloTorch LangChain

Introduction

FloTorch allows you to retrive information from your existing Vector Storage (Vector Databases). With Knowledgebase, configured with FloTorch, you can search your Vector Database using OpenAI Compatible API. These Knowledgebases can be used to retrive information from your Vector Database using natural language queries.

RAG Entpoints use this Knowledgebase to retrive information from your Vector Database.

Supported Vector Databases

FloTorch currently supports the following Vector Databases:

AWS Bedrock - AWS Bedrock is a fully managed service that allows you to build, train, and deploy custom language models.

Other Vector Databases are planned to be supported in the future.