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BambooAI
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bambooai
Added feature to generate and explore ideas
2 дня назад
examples
Enable use of auxiliary datasets and generic ontologies
месяц назад
images
Add files via upload
7 дней назад
tests
Refactor import (#27) (#28)
месяц назад
web_app
Added export to PDF feature
11 часов назад
.dockerignore
Fixed imports. Added ability to run the app in a Docker container
2 месяца назад
.env.example
Adds SweatStack integration (#38)
6 дней назад
.gitignore
Refactor import (#27) (#28)
месяц назад
Dockerfile
Fixed imports. Added ability to run the app in a Docker container
2 месяца назад
LICENSE
Initial commit
2 года назад
LLM_CONFIG_sample.json
Added export to PDF feature
11 часов назад
PROMPT_TEMPLATES_sample.yaml
Added feature to generate and explore ideas
2 дня назад
README.md
Update README.md
6 дней назад
docker-compose.yaml
Fixed imports. Added ability to run the app in a Docker container
2 месяца назад
requirements-dev.txt
Refactor import (#27) (#28)
месяц назад
requirements.txt
Added feature to generate and explore ideas
2 дня назад
setup.py
Added export to PDF feature
11 часов назад
Readme
Table of Contents
Overview
Features
Demo Videos
Installation
Quick Start
How It Works
Configuration
Auxiliary Datasets
Dataframe Ontology (Semantic Memory)
Vector DB (Episodic Memory)
Usage Examples
Web Application Setup
Model Support
Environment Variables
Logging
Performance Comparison
Contributing
Notes
Todo
Table of Contents
Overview
Features
Demo Videos
Machine Learning Example (Jupyter Notebook)
Sports Data Analysis (Web UI)
Installation
Quick Start
Basic Example
How It Works
Flow Chart
Configuration
Parameters
Detailed Parameter Descriptions:
Agent and Model Configuration
Configuration Structure
Agent Roles
Configuration Fields
Example Alternative Configurations
Auxiliary Datasets
How to Use
Dataframe Ontology (Semantic Memory)
How to Use
What It Does
Vector DB (Episodic Memory)
How to Use
What It Does
Usage Examples
Interactive Mode (Jupyter Notebook or CLI)
Single Query Mode (Jupyter Notebook or CLI)
Web Application Setup
Option 1: Using Docker (Recommended)
Option 2: Using pip package
Option 3: Using complete repository
Model Support
API-based Models
Local Models
Environment Variables
Model API Keys. Specify the API keys for the models you want to use, and have access to.
Search and VectorDB API Keys(Optional)
Remote API Endpoints(Optional)
Application Configuration
Logging
Performance Comparison
Contributing
Notes
Todo
README.md
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