Vectara Ingest
A crawling framework for Vectara
Listed in categories:
GitHubAPIArtificial Intelligence
Description
Vectara Ingest is an open-source Python project designed to create an ingest pipeline for the Vectara platform. It allows users to crawl various datasets and ingest them into Vectara, facilitating the creation of conversational experiences such as chatbots, semantic search, and question answering from their data.
How to use Vectara Ingest?
To use Vectara Ingest, clone the repository, configure the crawler with your Vectara API key and corpus ID, and run the crawler using Docker. Follow the provided guide for detailed steps on setting up and executing the crawl job.
Core features of Vectara Ingest:
1️⃣
Open-source Python project for data ingestion
2️⃣
Prebuilt crawlers for various data sources
3️⃣
Step-by-step guide for building custom crawlers
4️⃣
Supports multiple data sources including websites, RSS feeds, and more
5️⃣
Integration with Vectara for conversational AI capabilities
Why could be used Vectara Ingest?
| # | Use case | Status | |
|---|---|---|---|
| # 1 | Crawling and ingesting data from websites for semantic search | ✅ | |
| # 2 | Creating chatbots that utilize ingested data for improved responses | ✅ | |
| # 3 | Ingesting documentation from platforms like Notion and Docusaurus for enhanced question answering | ✅ | |
Who developed Vectara Ingest?
Vectara is a trusted GenAI platform that provides simple APIs for creating conversational experiences. They focus on enabling users to leverage their data for enhanced interactions through AI-driven solutions.