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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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