Tali.AI

@iamAliAgha 🔥@tenzin_rose

I'm tired of spending so much time sifting through LinkedIn, Zoom, and Apollo to build contact lists. Let's develop an AI to handle this task at a larger scale!🔥

Thanks to @AssemblyAI for the easy to ingest docs! Let us know your thoughts.

@AssemblyAI + @TryTaliAI = crazy delicious? What's better then hitting Assembly's API's for pitch perfect transcriptions? Getting an AI to help you do it in half the time. Query / debug / problem solve (without having to wait) @SmithaKolan @mattmakai @jzzaghloul

Thoughts? @stmcallister @ngrokHQ @codydotjs @ngrok49 @JoshuaRubin @inconshreveable @SamCRichard @Ngrok88Ghosh @bsabrin

Picture this: @ngrokHQ docs powered by @TryTaliAI! Check out our demo - we've ingested all the Ngrok docs for a streamlined developer experience!

We were lucky enough to win the @llama_index bounty and want to thank @jerryjliu0 @richardblythman @augmenthack for the opportunity!

Github repo: github.com/niznet89/augme… We’re working on augmenting Developer support at @trytali and are investigating how to best apply Agents to solve this problem. If you’d like to learn more shoot us a DM.

...one tool, that should inform how the next tool is used.

... - “Build it’s house” of knowledge and ask more pointed questions to fill in the gaps & develop a robust answer - If it didn’t have an answer, escalate to a human. If it did, answer directly

Learnings: - Agents are very useful, but not taking our jobs (yet). We’ll be working further to optimize the workflow & tools - In order to be useful, agents need to aggregate information based on the results of each tool used. If partial information can be learned from...

... - If it answered, a Zendesk ticket would be setup marking the ticket as answered - If it couldn’t answer, a ticket would be setup assigning it to a human.

For demo purposes, we included: - A user could email an email address which hit the bot’s endpoint - The bot went through a multi-step process where it iteratively tried tools to get enough information to answer ...

...the foundation of “knowledge” about the problem for the bot - Reason through the query + available info and determine what other data it needed - Leverage it’s tool set (Searching the web, Discord convo’s or Documentation) to get more information

We leveraged the ReAct Agent framework within @llama_index to create an Orchestrator model that: - Ingested Documentation & Discord convo’s to embed and do a vector search via @activeloop - Rerank the most relevant documents via @cohere on the initial query. This set...

Our goal was to mimic how a human would approach the problem: 1. Try to answer based on their own knowledge 2. If they can’t, do a web search to fill in the gaps 3. See if it or a similar question had been answered by the community 4. If they're still stumped, escalate

Autonomous Agents: Are they destined to seize all Support Jobs? 🤖 This is the question we aimed to answer at the @augment hackathon where we built an Autonomous Support bot leveraging @llama_index. Demo: youtu.be/Qw0y2ijto3A Overview / learnings / code below 👇

What if your docs could speak? Tali, our intelligent AI-powered bot, gives them a voice. Instant answers, relevant insights, all from your existing resources. Think of it as a #devrel superhero. Request access to Tali today at tryTali.com #TaliAI

@heyeaslo Support Easy!

Ready to supercharge your developer support? Head over to trytali.com and request access to Tali today!

For projects and companies, Tali serves as the 1st line of defense, managing the influx of developer queries by providing quick, context-aware solutions. It acts as another member of your team, saving time and resources.

Introducing @TryTaliAI🚀. Tali revolutionizes developer support, instantly answering deep technical questions by analyzing your project's docs, code, Discord, YouTube videos & more. Say goodbye to endless waiting for answers!