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GraphlitVerified tool

5.0 (1 reviews)

Bring knowledge to your AI apps. Integrate with LLMs in minutes, not weeks.

About Graphlit

RAG-as-a-Service: Intelligent text extraction and chunking, built-in vector embeddings and conversation history
Semantic Search: Vector-based search, including metadata filtering
Content Creation: Automated text and transcript summarization, social media post generation, long-form content creation

Ingest from any data source such as: Web sites, cloud storage, SharePoint, podcasts, Jira, Notion, YouTube, email or Slack
Ingest any unstructured data format such as: documents, audio, video, or images

Use Cases

  • 1.Offer RAG conversations over your user's unstructured data
  • 2.Extract JSON from documents, audio transcripts and web pages
  • 3.Publish AI-generated audio summaries of Slack messages or emails

User Reviews (1)

R

Ramanujam Kanduri

May 4, 2024

5/5
User Satisfaction
4/5
Ease of Use
5/5

Efficient and intuitive data extraction

What do you like about Graphlit?

Graphlit's ability to extract and structure data from multiple sources is impressive. It simplifies data processing tasks significantly.Graphlit's ability to extract and structure information from different sources like web and documents is impressive. It simplifies the process of converting unstructured data into actionable insights.I found its integrations with cloud storage very handy, facilitating immediate access to data for analysis.Graphlit's integration with cloud storage, Sharepoint, notebooks, and web pages is particularly user-friendly and efficient.

What did you dislike about Graphlit?

While Graphlit's feature set is quite robust, the lack of a clear guide for beginners can be a hurdle. More detailed documentation would enhance the user experience.bust. Users without prior experience might find it challenging to navigate the advanced options. A streamlined start-up process could improve this.It would be beneficial to streamline the start-up process for new users to navigate the tool more easily. This could potentially reduce the learning curve and encourage wider adoption.

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