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Phidata Alternatives
Similar projects and alternatives to phidata
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SaaSHub
SaaSHub - Software Alternatives and Reviews. SaaSHub helps you find the best software and product alternatives
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markwhen
Make a cascading timeline from markdown-like text. Supports simple American/European date styles, ISO8601, images, links, locations, and more.
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helicone
🧊 Open source LLM observability platform. One line of code to monitor, evaluate, and experiment. YC W23 🍓
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argilla
Argilla is a collaboration tool for AI engineers and domain experts to build high-quality datasets
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hamilton
Hamilton helps data scientists and engineers define testable, modular, self-documenting dataflows, that encode lineage/tracing and metadata. Runs and scales everywhere python does.
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mlrun
MLRun is an open source MLOps platform for quickly building and managing continuous ML applications across their lifecycle. MLRun integrates into your development and CI/CD environment and automates the delivery of production data, ML pipelines, and online applications.
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NeumAI
Neum AI is a best-in-class framework to manage the creation and synchronization of vector embeddings at large scale.
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voice-pro
Comprehensive Gradio WebUI for audio processing, powered by Whisper engines (Whisper, Faster-Whisper, Whisper-Timestamped). Features Voice Changer, zero-shot Voice Cloning (E2, F5-TTS), YouTube downloading, vocal isolation(UVR5), Text-to-Speech (Edge-TTS), and multi-language translation. Perfect for content creators and developers.
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samurai
Official repository of "SAMURAI: Adapting Segment Anything Model for Zero-Shot Visual Tracking with Motion-Aware Memory"
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composio
Composio equip's your AI agents & LLMs with 100+ high-quality integrations via function calling
phidata discussion
phidata reviews and mentions
- AI and All Data Weekly - 02 December 2024
- Show HN: Phidata – Build AI Agents with memory, knowledge, tools and reasoning
- AI Agents with memory, knowledge and tools
- Phidata: Add memory, knowledge and tools to LLMs
- Show HN: Use function calling to build AI Assistants
- Phidata: Build AI Assistants using function calling
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Chat with ArXiv Papers
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
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Chat with PDFs using function calling
- I used phidata to build this: https://github.com/phidatahq/phidata
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Show HN: Hacker News AI built using function calling
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.
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Show HN: Hacker News AI
- 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.
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Stats
phidatahq/phidata is an open source project licensed under Mozilla Public License 2.0 which is an OSI approved license.
The primary programming language of phidata is Python.