langchaingo
TaskEaseGPT
langchaingo | TaskEaseGPT | |
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9 | 1 | |
3,195 | 48 | |
- | - | |
9.8 | 6.4 | |
2 days ago | 8 months ago | |
Go | Go | |
MIT License | GNU Affero General Public License v3.0 |
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langchaingo
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How to use Retrieval Augmented Generation (RAG) for Go applications
Generative AI development has been democratised, thanks to powerful Machine Learning models (specifically Large Language Models such as Claude, Meta's LLama 2, etc.) being exposed by managed platforms/services as API calls. This frees developers from the infrastructure concerns and lets them focus on the core business problems. This also means that developers are free to use the programming language best suited for their solution. Python has typically been the go-to language when it comes to AI/ML solutions, but there is more flexibility in this area. In this post you will see how to leverage the Go programming language to use Vector Databases and techniques such as Retrieval Augmented Generation (RAG) with langchaingo. If you are a Go developer who wants to how to build learn generative AI applications, you are in the right place!
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Build a Serverless GenAI solution with Lambda, DynamoDB, LangChain and Amazon Bedrock
This use-case here is a similar one - a chat application. I will switch back to implementing things in Go using langchaingo (I used Python for the previous one) and continue to use Amazon Bedrock. But there are few unique things you can explore in this blog post:
- LangChain for Go, the easiest way to write LLM-based programs in Go
- Langchaingo – LangChain in Idiomatic Go
- Agency: Pure Go LangChain Alternative
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Building LangChain applications with Amazon Bedrock and Go - An introduction
langchaingo is the LangChain implementation for the Go programming language. This blog post covers how to extend langchaingo to use foundation model from Amazon Bedrock.
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Zep: A long-term memory store for LLM apps, written in Go
Langchain Go is being actively developed https://github.com/tmc/langchaingo
TaskEaseGPT
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MicroGPT, a mini-agent powered by GPT4, can analyze stocks, perform network security tests, and order Pizza. Link in the comments
I am building another project like this but it will achieve larger tasks like build an e-commerce website, write a book about X and etc. It is similar to AutoGPT but AutoGPT is not able to complete tasks. It always plans or sometimes does the work but forgets to save so the work is lost. Here is the link if you are interested: https://github.com/Stylsheets/TaskEaseGPT
What are some alternatives?
yao - :rocket: A performance app engine to create web services and applications in minutes.Suitable for AI, IoT, Industrial Internet, Connected Vehicles, DevOps, Energy, Finance and many other use-cases.
jotbot - JotBot generates the missing code documentation for your Go and TypeScript projects. Powered by AI.
langchain - 🦜🔗 Build context-aware reasoning applications
VecTextSearch - 一个99%由OpenAI ChatGPT开发的项目。A project that is 99% developed by OpenAI ChatGPT.
ollama - Get up and running with Llama 3, Mistral, Gemma, and other large language models.
chatgptui - ChatGPT 🤖 with Textual User Interface (TUI) mode written in Go.
zep - Zep: Long-Term Memory for AI Assistants.
igogpt - AutoGPT and other GPT and AI tools written in Golang
langchaingo-amazon-bedrock-llm - Amazon Bedrock extension for langchaingo
qrgpt - A little CLI helper for cleaner, more contextual ChatGPT
casdoor - An open-source UI-first Identity and Access Management (IAM) / Single-Sign-On (SSO) platform with web UI supporting OAuth 2.0, OIDC, SAML, CAS, LDAP, SCIM, WebAuthn, TOTP, MFA and RADIUS [Moved to: https://github.com/casdoor/casdoor]
langchain-chatbot - AI Chatbot for analyzing/extracting information from data in conversational format.