Skip to content
kis.ai Documentation

Knowledge Prompts

Anica as a Dynamic Knowledge Bot

Anica, features an innovative knowledge bot functionality. This dynamic feature transforms Anica into a powerful resource for developers, enabling them to store, organize, and retrieve information effortlessly. This allows developers to store webpages, PDFs, documents as topics, and then use natural language to extract knowledge and insights from it.

Key Use Cases

1. Document Storage and Organization Anica allows developers to store extensive amounts of information, including documents, manuals, PDFs, and PowerPoint presentations, into easily accessible topics. With just a few natural language prompts, developers can categorize and organize their resources, ensuring that all relevant information is grouped together. Example: A developer working on a complex project can store project manuals, technical documents, and relevant research papers under a single topic, making it easier to manage and retrieve information.

2. Natural Language Queries Anica’s knowledge bot feature shines in its ability to handle natural language queries. Developers can ask questions in plain language, and Anica will understand and respond with relevant information from the stored documents. Example: A developer needing specific information from a technical manual can simply ask, “How do I configure the AI Gateway?” and Anica will provide the relevant section from the document.

3. Efficient Retrieval-Augmented Generation (RAG) Pipelines Anica leverages efficient RAG pipelines to deliver precise answers. This system combines the power of retrieval-based and generation-based models to provide comprehensive and accurate responses. Example: When asked about best practices for API security, Anica retrieves information from multiple documents and generates a summarized response with links to the detailed sections for further reading.

4. Dynamic Knowledge Management Anica’s knowledge bot feature is not static; it continuously evolves as more information is added. Developers can update topics, add new documents, and refine the stored knowledge, ensuring that Anica remains a valuable resource. Example: Over the lifecycle of a project, developers can keep adding new research papers, updates, and technical documentation to the relevant topics, ensuring that the entire team has access to the latest information.

Benefits of Using Anica’s Knowledge Bot feature

  • Increased Productivity: By reducing the time spent searching for information, developers can focus more on coding and problem-solving.
  • Enhanced Collaboration: All team members have access to the same information, promoting consistency and shared understanding.
  • Improved Decision-Making: With easy access to comprehensive and up-to-date information, developers can make informed decisions quickly.

Anica’s knowledge bot feature transforms how developers interact with information, making it a powerful tool in the kis.ai ecosystem. By combining intuitive document management with advanced NLP and RAG pipelines, Anica ensures that developers have the support they need to build robust and innovative applications efficiently.

Knowledge Prompts

With that long preamble, lets dive-in to see how you can leverage it. Add one or more webpages to a topic

add link https://en.wikipedia.org/wiki/Markov_chain to topic markov
add link https://en.wikipedia.org/wiki/Continuous-time_Markov_chain to topic markov
add links https://en.wikipedia.org/wiki/Harry_Potter_(film_series), https://en.wikipedia.org/wiki/Harry_Potter_and_the_Philosopher%27s_Stone_(film), https://en.wikipedia.org/wiki/Harry_Potter_and_the_Chamber_of_Secrets_(film), https://en.wikipedia.org/wiki/Harry_Potter_and_the_Prisoner_of_Azkaban_(film) to topic potter

Add a complete website to a topic

add link docs.kis.ai with depth 2 to topic kisai

Add a pdf to a topic

add pdf https://arxiv.org/pdf/1706.03762 to topic attention

Add a document to a topic

add doc https://arxiv.org/pdf/1706.03762 to topic attention

Ask questions in natural language

on topic of attention, who are the authors of the paper “Attention is all your need”?
on topic of attention, how does attention work in LLMs?

Ask questions with larger context

on large topic of potter, tell me summary of each movie

List all topics

list all topics

Delete topic

delete topic attention