semvec/pypi-packages huggingface dataset:
stache-ai-redis 0.1.0
Redis provider for Stache AI
License: MIT
Requires Python: >=3.10
Keywords: stache, rag, ai, redis

# stache-ai-redis

Redis provider for [Stache AI](https://github.com/stache-ai/stache-ai).

## Installation

```bash
pip install stache-ai-redis
```

## Usage

Install the package and configure the provider in your settings:

```python
from stache_ai.config import Settings

settings = Settings(
    namespace_provider: "redis"
)
```

The provider will be automatically discovered via entry points.

## Requirements

- Python >= 3.10
- stache-ai >= 0.1.0
- redis>=5.0.0
stache-ai-openai 0.1.0
Openai provider for Stache AI
License: MIT
Requires Python: >=3.10
Keywords: stache, rag, ai, openai

# stache-ai-openai

Openai provider for [Stache AI](https://github.com/stache-ai/stache-ai).

## Installation

```bash
pip install stache-ai-openai
```

## Usage

Install the package and configure the provider in your settings:

```python
from stache_ai.config import Settings

settings = Settings(
    llm_provider: "openai"
)
```

The provider will be automatically discovered via entry points.

## Requirements

- Python >= 3.10
- stache-ai >= 0.1.0
- openai>=1.0.0
stache-ai-mixedbread 0.1.0
Mixedbread provider for Stache AI
License: MIT
Requires Python: >=3.10
Keywords: stache, rag, ai, mixedbread

# stache-ai-mixedbread

Mixedbread provider for [Stache AI](https://github.com/stache-ai/stache-ai).

## Installation

```bash
pip install stache-ai-mixedbread
```

## Usage

Install the package and configure the provider in your settings:

```python
from stache_ai.config import Settings

settings = Settings(
    embeddings_provider: "mixedbread"
)
```

The provider will be automatically discovered via entry points.

## Requirements

- Python >= 3.10
- stache-ai >= 0.1.0
- httpx>=0.25.0
stache-ai-cohere 0.1.0
Cohere provider for Stache AI
License: MIT
Requires Python: >=3.10
Keywords: stache, rag, ai, cohere

# stache-ai-cohere

Cohere provider for [Stache AI](https://github.com/stache-ai/stache-ai).

## Installation

```bash
pip install stache-ai-cohere
```

## Usage

Install the package and configure the provider in your settings:

```python
from stache_ai.config import Settings

settings = Settings(
    embeddings_provider: "cohere"
)
```

The provider will be automatically discovered via entry points.

## Requirements

- Python >= 3.10
- stache-ai >= 0.1.0
- cohere>=4.0.0
stache-ai-aws 0.1.0
AWS providers bundle for Stache AI (includes S3 Vectors, DynamoDB, and Bedrock)
License: MIT
Requires Python: >=3.10
Keywords: stache, rag, ai, aws, bedrock, dynamodb, s3vectors

# stache-ai-aws

AWS providers bundle for [Stache AI](https://github.com/stache-ai/stache-ai).

This metapackage installs all AWS-based providers for Stache:
- **stache-ai-bedrock** - LLM and Embedding via AWS Bedrock
- **stache-ai-dynamodb** - Namespace and Document Index via DynamoDB
- **stache-ai-s3vectors** - Vector storage via S3 Vectors

## Installation

```bash
pip install stache-ai-aws
```

This is equivalent to:
```bash
pip install stache-ai-bedrock stache-ai-dynamodb stache-ai-s3vectors
```

## Usage

```python
from stache_ai.config import Settings

settings = Settings(
    llm_provider="bedrock",
    embedding_provider="bedrock",
    vectordb_provider="s3vectors",
    namespace_provider="dynamodb",
    document_index_provider="dynamodb"
)
```
stache-ai-anthropic 0.1.0
Anthropic provider for Stache AI
License: MIT
Requires Python: >=3.10
Keywords: stache, rag, ai, anthropic

# stache-ai-anthropic

Anthropic provider for [Stache AI](https://github.com/stache-ai/stache-ai).

## Installation

```bash
pip install stache-ai-anthropic
```

## Usage

Install the package and configure the provider in your settings:

```python
from stache_ai.config import Settings

settings = Settings(
    llm_provider: "anthropic"
)
```

The provider will be automatically discovered via entry points.

## Requirements

- Python >= 3.10
- stache-ai >= 0.1.0
- anthropic>=0.18.0