semantra
terraform-aws-lambd
semantra | terraform-aws-lambd | |
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17 | 2 | |
2,289 | - | |
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4.9 | - | |
12 days ago | - | |
Python | ||
MIT License | - |
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semantra
- Semantra: Multi-Tool for Semantic Search
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Show HN: SeaGOAT – local, “AI-based” grep for semantic code search
Semantra! Shared it yesterday on HN https://github.com/freedmand/semantra
- Show HN: Semantra – local, private semantic search engine for your files
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Serverless Semantic Search, Free tier only
[2] https://github.com/freedmand/semantra (author of this tool)
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My experience on starting with fine tuning LLMs with custom data
Yep, same. This works decently well: https://github.com/freedmand/semantra
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Document digest & oobabooga
I've been wondering how long it'd take this project to add support for something like Semantra so I'm glad you're into it.
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Instruct-guided novel writing using WizardLM-30B-Uncensored (with SillyTavern)
It's kind of like a more more applicable version of Semantra for content generation.
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ScholarTurbo: Use ChatGPT to chat with PDFs (supports GPT-4)
That's a big part of the reason I built the open source tool Semantra[1]. I only really trust the semantic search part of this problem as it is constrained by context, so I tried to make the user experience good on top of simpler semantic search without any chatbot capabilities.
[1] https://github.com/freedmand/semantra
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Best model to act as info hub for preppers?
My dream assistant would be one that can search through these offline files and bring back relevant information. I think the closest we have to this is the Semantra project.
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VRAM limitations
Here, I'll be very blunt: I don't see any of these "The quick brown WizardLM jumps over the lazy Vicuna (Matata)" etc exciting much more people than just the member count of this subreddit any more than the already practically usable (and runs on even the low end iGPUs) kinda tools like Semantra.
terraform-aws-lambd
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Serverless Semantic Search, Free tier only
There are just too many required parameters to create a single handler. And then you need to do that N times for each handler. Take a look at a complete Terraform example for a lambda: https://github.com/terraform-aws-modules/terraform-aws-lambd...
For a personal project it's just a bit much in my experience, especially since most personal projects can easily be served by a t3.micro.
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Cloud, Why So Difficult?
It’s also weird not to know about terraform modules. There are a lot of things you _can_ configure because there are a lot of things people need to configure but if you’re using something like https://github.com/terraform-aws-modules/terraform-aws-lambd... it’s only a couple of lines of config for a Lambda.
What are some alternatives?
SeaGOAT - local-first semantic code search engine
mighty-snitch - noticing and preventing network requests should be easy
uniteai - Your AI Stack in Your Editor
qdrant - Qdrant - High-performance, massive-scale Vector Database for the next generation of AI. Also available in the cloud https://cloud.qdrant.io/
GPTQ-for-LLaMa - 4 bits quantization of LLaMa using GPTQ
serverless-graphql - Serverless GraphQL Examples for AWS AppSync and Apollo
chatdocs - Chat with your documents offline using AI.
terraform-aws-lambda - Terraform module, which takes care of a lot of AWS Lambda/serverless tasks (build dependencies, packages, updates, deployments) in countless combinations 🇺🇦
SillyTavern - LLM Frontend for Power Users. [Moved to: https://github.com/SillyTavern/SillyTavern]
tailscale - The easiest, most secure way to use WireGuard and 2FA.
SillyTavern - LLM Frontend for Power Users.
terraform-cdk - Define infrastructure resources using programming constructs and provision them using HashiCorp Terraform