The CouchbaseReader integrates Couchbase with LlamaIndex, allowing data to be loaded from a Couchbase cluster into documents. Users can connect with or without a pre-configured client using connection strings and credentials. Data loading supports SQL++ queries and customizable fields for both text and metadata. Options for lazy or complete data loading provide flexibility, making it ideal for AI applications needing efficient data retrieval and integration.
It allows users to fetch data from Couchbase using SQL++ queries and load it into LlamaIndex for processing and indexing.
You can connect by providing Couchbase credentials or by passing an initialized Couchbase client to the CouchbaseReader.
Yes, you can specify which text fields and metadata fields to include when loading data from Couchbase into LlamaIndex.
We’re all hanging out on Discord and would love for you to join our conversations.
Here’s everything you need to start building with Couchbase Capella™.
Whether you’re managing Couchbase on premises, using Couchbase Autonomous Operator (CAO), using Couchbase Capella, or writing apps that use Couchbase, we have a certification for you.
News breaks first on our blog. Stay up to date on the Couchbase ecosystem and learn tips and tricks from our engineers, developer advocates, and partners.