building-reactjs-gen-ai-apps-with-amazon-bedrock-javascript-sdk
EdgeChains
| building-reactjs-gen-ai-apps-with-amazon-bedrock-javascript-sdk | EdgeChains | |
|---|---|---|
| 3 | 15 | |
| 36 | 403 | |
| - | 1.7% | |
| 7.5 | 6.2 | |
| about 1 year ago | 22 days ago | |
| JavaScript | JavaScript | |
| MIT No Attribution | GNU Affero General Public License v3.0 |
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building-reactjs-gen-ai-apps-with-amazon-bedrock-javascript-sdk
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Building a Travel Support Agent with RAG and PostgreSQL, Using IaC.
👾 Tip: If you don't want to use WhatsApp, that's fine! You can use the following JavaScript application, which creates a UI that allows you to use the Agents and Knowledge Bases for Amazon Bedrock available in your AWS account --> Building ReactJS Generative AI apps with Amazon Bedrock and AWS JavaScript SDK
- Agente de soporte de viajes con WhatsApp potenciado por RAG PostreSQL en 4 pasos.
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Build a React genAI APP with Amazon Bedrock & AWS SDK
In the repository of this application, you will find the code ready to deploy the backend and frontend.
EdgeChains
- Launch HN: Human Layer (YC F24) – Human-in-the-Loop API for AI Systems
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Should you use Rust in LLM based tools for performance?
this is very cool!
we built something for our internal consumption (and now used in quite a few places in India).
Edgechains is declarative (jsonnet) based. so chains + prompts are declarative. And we built an wasm compiler (in rust based on wasmedge).
https://github.com/arakoodev/EdgeChains/actions/runs/1039197...
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We no longer use LangChain for building our AI agents
shameless plug - i build a JS/TS framework which tries to solve the abstraction problem. we use a json variant called jsonnet (created at google. expressive enough for kubernetes).
https://github.com/arakoodev/EdgeChains/tree/ts/JS/edgechain...
examples of these jsonnet for react COT chains - https://github.com/arakoodev/EdgeChains/blob/ts/JS/edgechain...
P.S. we also build a webassembly compiler that compiles this down to wasm and deploy on hardware.
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HonoJS: Small, simple, and ultrafast web framework for the Edges
We build a WASM compiler to compile our prompts and chains into webassembly. Honojs was a critical part of it.
https://github.com/arakoodev/EdgeChains/
- looking for someone to codereview an opensource Typescript+webassembly framework for Generative AI apps
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Overview: AI Assembly Architectures
EdgeChains: github.com/arakoodev/EdgeChains
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Stanford DSPy: The framework for programming with foundation models
would love your thoughts on this as well - https://github.com/arakoodev/edgechains
got frustrated in the same way with "Black Box Prompting - every library hides prompts/chains in layers of libraries...while it should have been declarative.
EdgeChains - allows u to specify ur prompt and chain in jsonnet. This why i think Generative AI needs declarative orchestration and not previous generations. https://github.com/arakoodev/edgechains#why-do-you-need-decl...
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Show HN: Chat with your data using LangChain, Pinecone, and Airbyte
when will you have pgvector as a destination ? we (https://github.com/arakoodev/edgechains) work with a lot of enterprises and they would not move away from using redis or pgvector even as their vector store. Is there a way where we can leverage that ?
Second, for a LOT of enterprises, they want to use non-openai embedding models (minilm, GTE, BGE), will you support that. For e.g. in Edgechains we natively support BGE and minilm. Would you be able to support that ?
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Chunking 2M+ files a day for Code Search using Syntax Trees
oh really ? Thats awfully kind. I'll take that in for EdgeChains as well.
https://github.com/arakoodev/EdgeChains/issues/172
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Langchain Is Pointless
Promptfile is written in markdown, which is unsuited for templates and config management.
I have an attempt in the same domain, would love feedback
We didnt invent a new markup - we used jsonnet which is used in large scale kubernetes and has a grammar that has been well tested for config mgmt.
https://github.com/arakoodev/EdgeChains/blob/main/Examples/r...
Prompts live outside the code.
What are some alternatives?
amplify-js-samples - A Sample Repository for Amplify JS Samples
AgentVerse - 🤖 AgentVerse 🪐 is designed to facilitate the deployment of multiple LLM-based agents in various applications, which primarily provides two frameworks: task-solving and simulation
live - 🎧 Chat with Ableton Live in your browser.
awesome-ai-agents - A list of AI autonomous agents
rag-postgresql-agent-bedrock - This application is built in four stages using infrastructure as code with CDK with Python to deploy. In the first stage, an Amazon Aurora PostgreSQL vector database is set up. In the second stage, the Knowledge Base for Amazon Bedrock is created using the established database. The third stage involves creating an Amazon
babyagi-asi - BabyAGI: an Autonomous and Self-Improving agent, or BASI