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It is an open-source embedding database. Chroma makes it easy to build LLM apps by making knowledge, facts, and skills pluggable for LLMs. | One memory passport. Travels with you across ChatGPT, Claude, Qwen, OpenClaw, every agent, every session. Yours to own. Impossible for us to read. |
Fully-typed, fully-tested, fully-documented;
Dev, Test, Prod: the same API that runs in your Python notebook, scales to your cluster;
Feature-rich;
Free & open source | AI Infra, AI Memory, AI Tool |
Statistics | |
GitHub Stars 24.2K | GitHub Stars - |
GitHub Forks 1.9K | GitHub Forks - |
Stacks 53 | Stacks 0 |
Followers 15 | Followers 1 |
Votes 0 | Votes 1 |
Integrations | |
| No integrations available | |

AWS Key Management Service (KMS) is a managed service that makes it easy for you to create and control the encryption keys used to encrypt your data, and uses Hardware Security Modules (HSMs) to protect the security of your keys. AWS Key Management Service is integrated with other AWS services including Amazon EBS, Amazon S3, and Amazon Redshift. AWS Key Management Service is also integrated with AWS CloudTrail to provide you with logs of all key usage to help meet your regulatory and compliance needs.

Experience Seedance 2.0 Pro, the premier Seedance 2 AI platform. Leveraging advanced ByteDance technology and Jimeng AI models for cinematic Seedance 2 Video creation.

All-in-one content studio — easily create any photo, video or audio clip with AI. Affordable, easy to use and featuring the latest AI models.

Milvus is an open source vector database. Built with heterogeneous computing architecture for the best cost efficiency. Searches over billion-scale vectors take only milliseconds with minimum computing resources.

That transforms AI-generated content into natural, undetectable human-like writing. Bypass AI detection systems with intelligent text humanization technology

Zorq AI generates videos and images in 60 seconds — not days. Kling, Veo, Sora & Seedream under one roof. 10 free credits, no credit card. Try free now.

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.

It allows you to run open-source large language models, such as Llama 2, locally.

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.

It is a library for building stateful, multi-actor applications with LLMs, built on top of (and intended to be used with) LangChain. It extends the LangChain Expression Language with the ability to coordinate multiple chains (or actors) across multiple steps of computation in a cyclic manner.