AgentSearch vs Flowise
Overview
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CLI (Node.js)
Manual
Detailed Comparison
It is an open-source, drag & drop UI to build your customized LLM flow. It is built on top of LangChainJS, with the aim to make it easy for people to visualize and build LLM apps. | It is a powerful agent-first search engine that enables you to run a webscale search engine locally or to connect via remote API. It's ideal for both Large Language Models (LLMs) and human users. |
Drag and drop UI;
Open source;
Build customized LLM flow | Allows uploading of local data or tailoring of provided datasets to meet specific needs;
Facilitates operation in a completely offline environment;
Offers fully managed access through a dedicated API for seamless integration into various workflows |
Statistics | |
GitHub Stars 46.3K | GitHub Stars 510 |
GitHub Forks 23.0K | GitHub Forks 49 |
Stacks 32 | Stacks 0 |
Followers 21 | Followers 0 |
Votes 0 | Votes 0 |
Integrations | |
What are some alternatives to Flowise, AgentSearch?
Sphinx
It lets you either batch index and search data stored in an SQL database, NoSQL storage, or just files quickly and easily — or index and search data on the fly, working with it pretty much as with a database server.
MkDocs
It builds completely static HTML sites that you can host on GitHub pages, Amazon S3, or anywhere else you choose. There's a stack of good looking themes available. The built-in dev-server allows you to preview your documentation as you're writing it. It will even auto-reload and refresh your browser whenever you save your changes.
Lucene
Lucene Core, our flagship sub-project, provides Java-based indexing and search technology, as well as spellchecking, hit highlighting and advanced analysis/tokenization capabilities.
Clever AI Humanizer
That transforms AI-generated content into natural, undetectable human-like writing. Bypass AI detection systems with intelligent text humanization technology
LangChain
It is a framework built around LLMs. It can be used for chatbots, generative question-answering, summarization, and much more. The core idea of the library is that we can “chain” together different components to create more advanced use cases around LLMs.
Search the world's information, including webpages, images, videos and more. Google has many special features to help you find exactly what you're looking for.
Ollama
It allows you to run open-source large language models, such as Llama 2, locally.
LlamaIndex
It is a project that provides a central interface to connect your LLMs with external data. It offers you a comprehensive toolset trading off cost and performance.
YugabyteDB
An open-source, high-performance, distributed SQL database built for resilience and scale. Re-uses the upper half of PostgreSQL to offer advanced RDBMS features, architected to be fully distributed like Google Spanner.
Searchkick
Searchkick learns what your users are looking for. As more people search, it gets smarter and the results get better. It’s friendly for developers - and magical for your users.
