phidata

Build multi-modal Agents with memory, knowledge, tools and reasoning. Chat with them using a beautiful Agent UI. (by phidatahq)

Phidata Alternatives

Similar projects and alternatives to phidata

NOTE: The number of mentions on this list indicates mentions on common posts plus user suggested alternatives. Hence, a higher number means a better phidata alternative or higher similarity.

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phidata reviews and mentions

Posts with mentions or reviews of phidata. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2024-12-02.
  • AI and All Data Weekly - 02 December 2024
    28 projects | dev.to | 2 Dec 2024
  • Show HN: Phidata – Build AI Agents with memory, knowledge, tools and reasoning
    1 project | news.ycombinator.com | 23 Oct 2024
  • AI Agents with memory, knowledge and tools
    1 project | news.ycombinator.com | 2 Jun 2024
  • Phidata: Add memory, knowledge and tools to LLMs
    1 project | news.ycombinator.com | 6 May 2024
  • Show HN: Use function calling to build AI Assistants
    1 project | news.ycombinator.com | 27 Feb 2024
  • Phidata: Build AI Assistants using function calling
    1 project | news.ycombinator.com | 25 Feb 2024
  • Chat with ArXiv Papers
    2 projects | news.ycombinator.com | 5 Feb 2024
    Hi HN, I built an app to chat with arXiv papers: https://arxiv.aidev.run

    I’m using function calling to interact with the arXiv api, here’s the general flow:

    > For a users question, search the knowledge base (pgvector) for the topic/paper

    > If knowledge base results are not relevant, search arXiv api for paper, parse it and store it in the knowledge base

    > Answer questions or summarize using contents from the knowledge base.

    Give it a spin at: https://arxiv.aidev.run and let me know what you think.

    Its a work in progress and I’m looking for feedback on how to improve. The read time from the arXiv api is a bit slow – but not much I can do about it.

    I used phidata to build this: https://github.com/phidatahq/phidata

    Here’s the code if you’re interested: https://github.com/phidatahq/ai-cookbook/blob/main/arxiv_ai/assistant.py

  • Chat with PDFs using function calling
    2 projects | news.ycombinator.com | 2 Feb 2024
    - I used phidata to build this: https://github.com/phidatahq/phidata
  • Show HN: Hacker News AI built using function calling
    1 project | news.ycombinator.com | 28 Jan 2024
    Hi HN, I built an AI that can interact with the Hacker News API and answer questions about hackernews stories, whats trending, what on show etc..

    Check it out here: https://hn.aidev.run

    You can ask questions like:

    - What on hackernews about AI?

    - What on hackernews about iPhone?

    - What's trending on hackernews?

    - What are users showing on hackernews?

    - What are users asking on hackernews?

    - Summarize this story: https://news.ycombinator.com/item?id=39156778

    It uses function calling to query the HN api.

    To answer questions about a particular topic, it’ll search its knowledge base (a vector db that is periodically updated with the “top stories”) and get details about those stories from the API.

    This is pretty barebones and I built it today in < 2 hours, so it probably won’t meet your high standards. If you give it a try, I’d love your feedback on how I can improve it.

    If you’re interested, I built this using phidata: https://github.com/phidatahq/phidata

    Thanks for reading and would love to hear what you think.

  • Show HN: Hacker News AI
    1 project | news.ycombinator.com | 28 Jan 2024
    - Summarize this story: https://news.ycombinator.com/item?id=39156778

    It uses function calling to query the HN api.

    To answer questions about a particular topic, it’ll search its knowledge base (a vector db that is periodically updated with the “top stories”) and get details about those stories from the API.

    This is pretty barebones and I built it today in < 2 hours, so it probably won’t meet your high standards. If you give it a try, I’d love your feedback on how I can improve it.

    If you’re interested, I built this using phidata: https://github.com/phidatahq/phidata

    Thanks for reading and would love to hear what you think.

  • A note from our sponsor - SaaSHub
    www.saashub.com | 15 Jan 2025
    SaaSHub helps you find the best software and product alternatives Learn more →

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