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⏳ Timestamps

00:00 - Introduction to OpenAI Deep Research & Free Alternatives

01:02 - Scira: Open Source AI Search & Deep Research Tool

03:11 - Demo of Scira’s Cloud Version & Key Features

05:28 - Testing Scira’s Deep Research vs. OpenAI’s $200/month Tool

08:05 - How to Self-Host Scira & Configure API Keys

12:27 - Running Scira Locally & Testing Deep Research with Claude 3.5

14:26 - Comparing Scira to Other Open Source & Paid AI Research Tools

16:25 - Stride AI Academy & AI Business Solutions

Transcript

all right guys so I've been using the

chat GPT Pro deep research feature and

it is quite frankly insane to say the

least now the only issue is it's behind

a $200 per month pay wall now if you

don't know about deep research by open

aai it essentially does PHD level

research and it can take anywhere from 4

minutes to 20 minutes and we've been

doing some deep Dives on some different

open-source alternatives on this channel

within the last 4 days we did four

different videos one is on open source

deep research which is a CLI tool the

other was web UI which is made by

browser use and has deep researching

capabilities and then the other was

another rapper which is a gooey

front-end interface to open- Source deep

research and I did a video yesterday

actually doing a comparison step by step

showing you how to set these all up as

well as testing these open source models

between open AIS deep research now right

after I made this video I actually came

across another potential alternative to

open AI deep research and yes it is open

source now some of you who've been

following this channel may have seen me

cover different perplexity Alternatives

like open perplex llm answer engine

perplex and we also covered mini perplex

a month ago now mini perplex is actually

rebranded to Circa and it is a

minimalistic AI search engine that helps

you find information on the Internet

it's powered by the forel AI SDK and you

can search with models like grock 2.0

deep seek R1 as well as many different

other ones now with this new Rebrand

they also included a new deep research

feature which is pretty incredible and

in today's video I'm going to show you

how you can use their Cloud version 100%

for free or you can self-host it in the

next 5 minutes in a very very simple way

use your own API keys and you'll be able

to do deep research without having to

pay $200 a month let's dive right into

it all right guys so all links I cover

in today's video will be linked down

below so here we are on the GI Hub repo

now to quickly go over circuit here we

can see that it's powered by versel AI

SDK as well as tab AI for search

grounding and web search capabilities

now a few features it has AI powered

search web search URL specific search

weather programming Maps YouTube search

academic search expost search flight

tracker trending movies and TV shows

movie or TV show search and then llms

used XI Gro anthropic CLA 3.5 meta llama

3.3 70b deep seek R1 distilled by Grog

so you can leverage their fast inference

time chips open AI 03 mini and it's

built with nextjs twin CSS shadsy Nui

versel EXA AI tavali open Weather e Tob

Google Maps mapbox Trip Advisor an

aviation stack and you can simply just

Deploy on versell if you want you could

click this deploy button and you would

just have to Simply go through the steps

very simple to deploy on verell but I'm

actually going to be showing you how to

do this locally okay so if you want to

deploy on verell simply just click this

button walk through the steps of course

make sure you have aell account and then

you'll be good to go now before I

actually go through the local

installation of skura I want to show you

their actual Cloud hosted version so if

you go to skura doapp I'll leave a link

down below you'll see that they have

their Cloud version right here and you

can actually start using this without

having to put your own API key in so you

can actually do deep research or

perplexity type search 100% for free so

I'll walk you through some of the

features here so here we have web so

search across the entire internet this

is going to be something similar to

perplexity then we have X so search xost

this is powered by EXA and then analysis

so code stock and currency stuff fun so

talk to Gro like a digital friend

academic so search academic papers

powered by EXA YouTube so search YouTube

videos in real time time Power by EXA so

very powerful extreme so this is where

the Deep research functionality comes in

so deep research with multiple sources

and Analysis we're going to test out

that in just a second and then here you

can switch from grock 2.0 to grock 2.0

Vision we have clad sonit 3.5 and then

we have aama 3.3 70b and deep seek R1

distilled so just to show you an example

here we could say Gro 2.0 and if we're

doing a basic web search you could type

something in of course I'm just going to

click on one of the trending questions

right here so RFK Jr confirmation and

you can see it's doing a search query

right now that is similar to perplexity

it's doing one now two then three

queries and you can see the queries that

it used RFK Junior confirmation 2025 the

latest um all that good stuff and we can

see the actual websites right here which

is really nice so found 10 different

results and we can see some pictures

right here and then we can see our

answer okay so background on the

confirmation all right keep points here

political reactions all that good stuff

and of course you have suggested

questions here so you can just click

these and have full up question so very

similar to perplexity and of course this

is for free now if we want to use deep

research we can simply just click on

Extreme right here and then we can ask

it a question so I'm going to say open

AI deep research Making Waves in the AI

industry what does this mean for the

future of business Ai and research and

is it worth 200 bucks per month let's go

ahead and click Send all right so you

can see here that it is actually

conducting its research plan right here

okay so we can see in progress we can

see Zero steps out of 15 Steps have been

completed so far so one is now in

process so we can see that it is

searched right here for open AI deep

research impact in business and then now

it's searching academic papers right

here so we have archive paper right here

now it's doing a different query right

here AI industry changes due to open AI

doing another query right here another

one right here so we can see all the

different queries that doing right here

and this is really good because you know

this is this is exactly how uh opening

eyes deep research looks kind of when

you're doing a a query it's going to

search many different queries for many

different sources and you're going to be

able to get those citations in your uh

actual results now it's analyzing impact

analysis analyzing ethical impact

analysis right here the cost benefit

analysis has been completed if we open

up this analysis right here we can see

what it took from the different

learnings from the sites that it got and

how it's actually forming its uh

analysis and then competitive analysis

has been completed and if we go down now

we can see our answer right here we can

see our sources so we can see web

sources right here we we have uh 1 2 3 4

5 6 7 8 9 10 11 11 different sources

which is really good and then academic

sources we have a bunch of different

academic sources as well and then we can

see the analysis based on these

learnings so it's a really nice user

interface and guey I really like how it

actually goes about doing this deep

research and now we can see our answers

so introduction you know giving it

introduction about this impact on

business CH changes in the AI industry

research contributions value proposition

at $200 us per month controversies and

ethical concerns and then conclusion

okay so one thing I noticed that you

know it doesn't have that deep research

has and a lot of the other open source

Alternatives I showed p is having the

citations at the bottom open AI deep

research also has the citations within

the article that it's writing which is

really nice but a lot of them just

include them at the bottom which this

one doesn't it does have the citations

up here but it uh makes it a little bit

harder if you wanted to copy and paste

the citation somewhere so that's one

thing I will say now the cool thing is

you can do deep research here with Gro

2.0 2.0 Vision as well as Claude sonit

3.5 so if you want to use a powerful

model like Claud at 3.5 with something

like deep research you can go ahead and

do so and I'm going to show you that in

just a second now that we got that out

of the way let's go ahead and talk about

self-hosting this deploying it locally

so first things first you're going to

need to sign up for the accounts with

the AI providers you want to use open

aai and anthropic are required as well

as Tav is required for the web search

feature okay you're going to want to

obtain these API keys for each provider

and then set the required environment

variables as shown in the env. example

we're going to get to that in just a

second but in a new file called env.

looc or justv Okay so let's go ahead

first things first is we're going to

want to clone this repository so you're

going to change directory into wherever

you want to clone that repository and

then you're going to run get clone and

then the repo URL once you run that it's

going to clone Circa and then you're

going to CD into that directory so CD

SRA and then I personally just ran code

dot because I like opening it in

something like the vs code or cursor so

if we open up my vs code right here you

will have a env. example file now I'll

walk you through this because it did

take me a couple tries just to make sure

everything was right here so um a few

API keys that I put are the ones where

you see that it's kind of like has some

stuff here like I put a x a API key

right here I didn't put Azure I didn't

put you know these ones where it says

XXX I didn't put an actual API key this

is dummy data but when you actually run

mpm run Dev it's going to do a

validation um so it's easier just if you

put some dummy data here when you

actually open up your EnV file it's just

going to look like this when you get it

from the repo okay so make it look like

mine the one that I'm showing you right

now where there's dummy data for the

ones that you're not using okay so I put

my actual open AI API key here I put my

anthropic API key right here and then

this is dummy data I put my Gro API key

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you can see I did it for like 11 Labs

you did it for tavali here I did it for

EXA I did it for fir craw you don't need

every single one of these but some of

these are mandatory I believe the models

like they mention our mandatory I think

EXA or tavali I believe one of those is

um I think tavali is EXA maybe or maybe

not I don't think you need 11 Labs I

don't think you need fir crawl um if you

do need specific ones it will let you

know but if you don't you can probably

just put x's in a lot of them like I did

here and then down here put XXX for all

these ones now for the up stash Rus rest

URL you're going to need to put actual

URL but this is just a fake one so you

could just copy the one I have right

here or put in whatever um this one

works though and then same thing for the

the next public post hog host URL right

here it's simply just the dummy URL but

you need an actual URL um format for

those two and then the rest can just be

dummy data and your actual API Keys once

you do that you're going to want to

actually save this and then you're going

to want to run pnpm installed to install

the different dependencies once those

dependencies are all installed then

you're going to want to run PNP runev

now you'll see here the first time I ran

it I didn't have the dummy um variables

for the EMV variables I wasn't using so

as you can see it says string must

contain at least one character so then I

fixed it and um then it actually

launched on Local Host Port 3000 so you

can see here mine's launched on 3004

just cuz I already have some other apps

running but now we have our local

version of surup so this will be able to

do all the same functionality that we

showed you in the cloud version of

course if you don't have certain API

Keys plugged in then you may or may not

be able to access certain llms or

certain features here okay let's go

ahead again to the extreme because we're

you know really T focusing on the open

ai's deep research capabilities right

now and let's go ahead and try something

like Claude Sonet 3.5 okay so our query

here is AI agents affecting business

growth in 2025 in-depth research and

Trends to Showcase how it will disrupt

Industries we're using claic 3.5 with

deep research and we're going to go and

click on send all right so now we can

see it has started its query and it is

started its research process right here

so developing the research plan once

again okay so it's at three steps of 16

and you can see that it's going through

that actual process right here which is

nice that we can see this history as

well all right so we can see all the

different queries that it did here and

now we can see our web sources here got

12 more academic sources 12 more as well

you can see our analysis so it did a

really good in-depth job it seems and

okay look so we you can actually see if

we hover over here it does show the

sources which is really nice I like when

it does that we can see the evolution of

AI agents in business industry

disruption and transformation strategic

integration and decision making right

here okay so this is actually I think a

little bit better than the first one

looks like it grabbed some McKenzie's

analysis reveals that blah blah blah

blah blah so pulling actual um you know

Trends and whatnot that we're seeing

different uh research papers and whatnot

so this is good with Statistics so all

in all pretty good output and it did a

good amount of steps and a lot of

different research so uh this is

something I will definitely experiment

more with I think it's really cool and

useful that they have a cloud version 2

which is 100% for free you don't have to

plug in your API keys or anything so

definitely try this one out now a lot of

you may be wondering where it lies in

the comparison between one some of these

open- Source researching agents as well

as the actual open AI deep research

first of all I would recommend checking

out this comparison if you really want

in-depth um comparison between all of

those models but I would say it's pretty

good it has a really good UI um in terms

of the quality of output like if I'm

really need something that's very

topnotch I probably would opt for me

personally just cuz you know I I

personally think I get the highest

quality output from open AI $200 a month

one so I probably use that but in terms

of the open source ones um this one

right here uh with the gooey wrapper is

really good quality output I got got web

UI is good too but it didn't ask me

followup questions so you want in-depth

comparisons between all that you can

check out that video here and now that

I'm mentioning it this one as well it

didn't doesn't seem like it asks you

followup questions to your initial query

which opening eyes does as well as some

of the other open source ones that I

covered so a few different things there

you know I think that definitely can

make the uh deep research a little bit

better because it gives the AI more

context um so those are a few things

there but let me know what your thoughts

are in the comments Down Below guys have

you tried out did you try out mini

perplex before it was called skura and

if so have you tried skura now and you

have you tried the Deep research with it

if you have let me know in the comments

down below what your favorite one is and

are you just going to be using one of

these open source tools or are you going

to actually Fork up the cash for $200 a

month and use opening eyes deep research

and if so what are you using it for what

are some of your best use cases that you

found I'm very interested to see some of

your guys' comments down below other

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