Unstract interface for LLMs, Embeddings and VectorDBs
Project description
Unstract
No-code LLM Platform to launch APIs and ETL Pipelines to structure unstructured documents
Unstract Adapters
This is Unstract's python package which helps to configure to a number of different LLMs, Embeddings and VectorDBs.
LLMs
The following LLMs are supported:
LLM | Version |
---|---|
OpenAI | 1.3.9 |
Azure OpenAI | 1.3.9 |
Anthropic | 0.7.8 |
PaLM | 0.3.1 |
Replicate | 0.22.0 |
AnyScale | 0.5.165 |
Mistral | 0.0.8 |
Embeddings
The following Embeddings are supported:
Embedding | Version |
---|---|
OpenAI | 1.3.9 |
Azure OpenAI | 1.3.9 |
Qdrant FastEmbed | 0.1.3 |
HuggingFace | 0.0.1 |
PaLM | 0.3.1 |
VectorDBs
The following VectorDBs are supported:
Vector DB | Version |
---|---|
Milvus | 2.3.4 |
Pinecone | 2.2.4 |
Postgres | 0.2.4 |
Qdrant | 1.7.0 |
Supabase | 2.2.1 |
Weaviate | 3.25.3 |
Installation
Local Development
To get started with local development,
- Create and source a virtual environment if you haven't already following these steps.
- If you're using Mac, install the below library needed for PyMSSQL
brew install pkg-config freetds
- Install the required dependencies with
pdm install
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