langchain
copilot-cli
| langchain | copilot-cli | |
|---|---|---|
| 33 | 51 | |
| 83,874 | 3,327 | |
| 3.9% | 1.0% | |
| 10.0 | 9.5 | |
| 3 days ago | 6 days ago | |
| Python | Go | |
| MIT License | Apache License 2.0 |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
langchain
- Construyendo un asistente genAI de WhatsApp con Amazon Bedrock
- Show HN: SpRAG – Open-source RAG implementation for challenging real-world tasks
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Aider: AI pair programming in your terminal
Big fan of Aider.
We are interesting in integrating Aider as a tool for Dosu https://dosu.dev/ to help it navigate and modify a codebase on issues like this https://github.com/langchain-ai/langchain/issues/8263#issuec...
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🦙 Llama-2-GGML-CSV-Chatbot 🤖
Developed using Langchain and Streamlit technologies for enhanced performance.
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Building a WhatsApp generative AI assistant with Amazon Bedrock and Python
Tip: Kenton Blacutt, an AWS Associate Cloud App Developer, collaborated with Langchain, creating the Amazon Dynamodb based memory class that allows us to store the history of a langchain agent in an Amazon DynamoDB.
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👑 Top Open Source Projects of 2023 🚀
LangChain was first released in October 2022 as an open-source side project, a framework that makes developing AI applications more flexible. It got so popular that it was promptly turned into a startup.
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Fuck You, Show Me the Prompt
> Furthermore, the prompt has a spelling error (Let'w) and also overly focuses on the negative about identifying errors - which makes me skeptical that this prompt has been optimized or tested.
Fixed in https://github.com/langchain-ai/langchain/commit/7c6009b76f0...
- LangChain Repository Disappeared
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🆓 Local & Open Source AI: a kind ollama & LlamaIndex intro
Being able to plug third party frameworks (Langchain, LlamaIndex) so you can build complex projects
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Easy Guide to Creating Smart Chatbots with Langchain & GPT-4
Access Langchain's repository at Langchain's Repository.
copilot-cli
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Use AWS Graviton processors on AWS Fargate with Copilot
AWS Copilot CLI is an open source command line interface for running containers on AWS App Runner, Amazon Elastic Container Service (ECS), and AWS Fargate.
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AI Chatbot powered by Amazon Bedrock 🚀🤖
sudo curl -Lo /usr/local/bin/copilot https://github.com/aws/copilot-cli/releases/latest/download/copilot-linux && sudo chmod +x /usr/local/bin/copilot
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Launch HN: Nullstone (YC W22) – An easier way to deploy and manage cloud apps
Check out AWS Copilot CLI: https://aws.github.io/copilot-cli/
This is by far the best way to deploy compute into AWS in containerized workloads.
The abstraction you want is Jobs: ttps://aws.github.io/copilot-cli/docs/concepts/jobs/
Building this any other way on AWS would require provisioning multiple artifacts. The Copilot Jobs abstraction basically encapsulates the provisioning of those artifacts into one repeatable pattern.
- Support of Lambda web adapter on AWS Copilot
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AWS ECS Basics and Tips
AWS Copilot CLI is a tool that lets you deploy production-ready, scalable services on AWS from a Dockerfile in one command.
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Need some help understanding pulling git code to ECS.
and here is the copilot page if you are interested https://aws.github.io/copilot-cli/
- AWS Copilot CLI
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What is your production environment?
For larger high availability required things, AWS ECS with RDS, ElastiCache, CloudFront, S3, etc.. Really like Copilot for deployment/env/secret/sidecar management (probably needs a rename now): https://aws.github.io/copilot-cli/
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Heroku Status – Dashboard/API Offline
We are spending about 60% less. Workload has actually lessened since AWS is so much more stable. Getting to a similar DX as Heroku was quite the lift, but once it's done, it's done. These days we generally only have outages when we screw something up ourselves. I recommend https://github.com/aws/copilot-cli for starting out on ECS.
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Deploying on ECS
I'd recommend checking out AWS Copilot (https://aws.github.io/copilot-cli/)
What are some alternatives?
llama_index - LlamaIndex is a data framework for your LLM applications
TabNine - AI Code Completions
semantic-kernel - Integrate cutting-edge LLM technology quickly and easily into your apps
terraform-cdk - Define infrastructure resources using programming constructs and provision them using HashiCorp Terraform
haystack - :mag: LLM orchestration framework to build customizable, production-ready LLM applications. Connect components (models, vector DBs, file converters) to pipelines or agents that can interact with your data. With advanced retrieval methods, it's best suited for building RAG, question answering, semantic search or conversational agent chatbots.
terraforming - Export existing AWS resources to Terraform style (tf, tfstate) / No longer actively maintained
griptape - Modular Python framework for AI agents and workflows with chain-of-thought reasoning, tools, and memory.
awesome-cdk - A collection of awesome things related to the AWS Cloud Development Kit (CDK)
text-generation-webui - A Gradio web UI for Large Language Models. Supports transformers, GPTQ, AWQ, EXL2, llama.cpp (GGUF), Llama models.
terraform - Terraform enables you to safely and predictably create, change, and improve infrastructure. It is a source-available tool that codifies APIs into declarative configuration files that can be shared amongst team members, treated as code, edited, reviewed, and versioned.
private-gpt - Interact with your documents using the power of GPT, 100% privately, no data leaks
Pulumi - Pulumi - Infrastructure as Code in any programming language. Build infrastructure intuitively on any cloud using familiar languages 🚀