Integrations

Astra DB Extension for GitHub Copilot

Chat with your data to create queries, code, databases, and even Langflow flows using a natural language interface with GitHub Copilot.

Firebase Genkit

Build, test, and deploy RAG-powered AI applications with Genkit and Astra DB

Glean

Seamlessly connect your DataStax Astra data with Glean to enable advanced search and insights.

LangChain JavaScript

Store and retrieve vectors for ML applications by integrating LangChain with Astra DB.

LangChain Python

A comprehensive framework for generative AI and RAG orchestration and data management.

Unstructured Integration

Data ingestion just got a lot easier with Unstructured, Langflow, and Astra DB.

AI Terraform Module

Infrastructure management just got a lot easier with Terraform by HashiCorp and Astra DB.

Vectorize with Azure OpenAI

Search and analyze data based on its true meaning with vector embeddings, increasing effectiveness for tasks like semantic search and text comparison.

Vectorize with Hugging Face

Save time and effort with pre-trained vector embedding models, offering strong accuracy for natural language processing tasks and GenAI apps.

Vectorize with Jina AI

Understand complex meaning in text with open-source vector embedding models, which handle long documents and support multiple languages.

Vectorize with Mistral AI

Transform text into meaningful formats with vector embeddings, ideal for real-time applications that demand fast retrieval.

Vectorize with NVIDIA

Generate vector embeddings directly from your database with 20x performance at 80% lower cost, simplifying the embedding process.

Vectorize with OpenAI

Capture intricate relationships in your content with vector embeddings—ideal for tasks like search and recommendation systems.

Vectorize with Upstage

Automate tasks that require high efficiency and accuracy, such as information retrieval and question answering, with embedding models.

Vectorize with Voyage AI

Enhance retrieval accuracy and reduce errors in generated responses with vector embeddings—including options from industry-specific models.