Leading AI Platform

We’re thrilled to be named a Leader in Forrester's Wave for Vector Databases, Q3 2024. (The only hybrid database leader!)

Generative AI Leaders Shaping Their Industries

Skypoint
Hornet
Priceline
Dataworkz
PW
Capital One
Sourcetable
Hey YOU
Macquarie
concide
Restworld

One-Stop GenAI Stack

A RAG API with all the data, tools, and an opinionated stack that just works. Both vector and structured data, secure, compliant, scalable, and supported. Integrated with LangChain, Vercel, GitHub Copilot and AI ecosystem leaders.

Relevant GenAI FTW

Minimize hallucinations with up to 20% higher relevance, 74x faster response time, and 9x higher throughput than Pinecone all at 80% lower TCO. Read while indexing to make data updates available with zero delay.

Relevant GenAI FTW

Developers

RAG Made Easier

An intuitive API and powerful integrations for production-level RAG workloads.

Install

Install the API clients

pythontypescriptjava
pip install astrapy

Connect

Create or connect to your database & collections

pythontypescriptjava
# The DataAPIClient lets you connect to your database
client = DataAPIClient("AstraCS:...")
db = client.get_database(
    "https://<id>-<region>.apps.astra.datastax.com"
)

# create_collection() will return the newly created collection
collection = db.create_collection(
    name="collection_test",
    dimension=5,
)

# Or you can connect to an existing connection directly
collection = astra_db.get_collection("collection_test")

Insert

Insert into your vector store (collection)

pythontypescriptjava
collection.insert_one(
    {
        "name": "Coded Cleats",
        "description": "Chat bot integrated sneakers that talk to you",
        "$vector": [0.1, 0.15, 0.3, 0.12, 0.05],
    }
)

Find

Find documents using vector search

pythontypescriptjava
documents = list(collection.find(
    sort={"$vector": [0.15, 0.1, 0.1, 0.35, 0.55]},
    limit=100,
))
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Explore examples
Explore examples

Tutorials and sample generative AI apps with best practices.

DOCS
DOCS

Get started in minutes with generative AI and RAG.

Fast Path to Production

Quickly take your GenAI idea into production. Deploy on the leader in production AI workloads and support global-scale on any cloud with enterprise level security and compliance.

Fast Path to Production

Shape the Wild

GenAI should be fun! An awesome developer experience for any JavaScript, Python, Java, and C++ dev to build production GenAI apps with LangChain, GitHub, Vercel, and the leading AI ecosystem partners.

Shape the Wild

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Deliver generative AI apps on the world’s most powerful, most scalable vector database.