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Xata

Xata - DB generates Q&A bots, imports data, semantic search.

Xata Details

Xata Info

Organization:
Xata
Type:
  1. AI Text
Marked As:
SFW (Safe for Work)
Platform:
  1. Website
Pricing:
  1. Freemium
From $20
Rating:
0
(45 Likes)

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Xata offers a serverless database platform that incorporates OpenAI’s ChatGPT to add value to data by building Q&A bots to answer questions on websites, applications, documentation, and knowledge bases.

The tool provides a fully featured database that includes built-in full-text search and vector search, tuning capabilities for ChatGPT, and generous free-tier support for up to 750K records and 15GB for free, including OpenAI API calls.

With Xata, users can easily integrate their data into the tool by importing information from CSV, using Javascript, Typescript, or Python SDKs to populate the database, and then call the API to generate results.

The search step is essential for getting the best results, and Xata supports both keyword and semantic search by generating relevant keywords based on the question or finding relevant documents using vector similarity. Xata’s ChatGPT can be easily configured by weighing columns and configuring value boosters through its UI.

More details about Xata

What key features does Xata offer?

Xata offers several key features including a fully-featured serverless database, full-text search and vector search capabilities, tuning capabilities for ChatGPT, and a generous free-tier support for up to 750K records and 15GB, including OpenAI API calls.

Can Xata generate results by calling the API?

Yes, Xata can generate results by calling the API. ChatGPT will answer questions using your data as context.

How can I configure the ChatGPT in Xata?

You can configure ChatGPT in Xata by configuring column weights and value boosters through its UI. This allows you to tune the search experience.

How does Xata handle keyword and semantic search?

In the case of keyword search, Xata uses the OpenAI completion model to generate the keywords based on the question. For semantic search, it finds the relevant documents using vector similarity.

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