| Name | Version | Summary | date |
| lavague-contexts-openai |
0.1.2 |
Openai integration for lavague |
2024-05-21 23:08:28 |
| langchain-tools |
0.1.34 |
Simplifying, enhancing, and extending the LangChain library functionality |
2024-05-20 09:31:47 |
| llm-code |
0.8.0 |
An OpenAI LLM based CLI coding assistant. |
2024-05-20 04:59:51 |
| icodes |
0.1.4 |
LLM-powered Git archeology tool (a.k.a. Intelligent Commit Ontology Distiller and Enhanced Search) |
2024-05-19 15:33:09 |
| oplc |
0.0.1 |
🚀A simple way to use langchain framework. |
2024-05-19 01:52:48 |
| smartchunk |
0.1.1 |
A PDF chunking Library to Smartly Chunk PDF files |
2024-05-17 15:23:53 |
| fastinference-llm |
0.0.5 |
Seamlessly integrate with top LLM APIs for speedy, robust, and scalable querying. Ideal for developers needing quick, reliable AI-powered responses. |
2024-05-16 12:49:31 |
| lavague-retriever-cohere |
0.1.2 |
Cohere retriever for lavague |
2024-05-15 21:20:51 |
| lavague-contexts-huggingface |
0.1.0 |
HuggingFaceLLM integration for lavague |
2024-05-15 16:28:41 |
| lavague-contexts-groq |
0.1.0 |
Groq integration for lavague |
2024-05-15 16:22:25 |
| lavague-cli |
0.1.0 |
CLI for lavague |
2024-05-15 16:20:52 |
| pydlutils |
0.0.6 |
Utility library for deep learning |
2024-05-15 07:06:22 |
| lavague-llms-huggingface |
0.1.0 |
HuggingFaceLLM integration for lavague |
2024-05-14 14:28:26 |
| uptrain |
0.7.1 |
UpTrain - tool to evaluate LLM applications on aspects like factual accuracy, response quality, retrieval quality, tonality, etc. |
2024-05-14 09:19:40 |
| clicra |
0.2.4 |
A LLM command-line crafter |
2024-05-11 11:02:03 |
| operagents |
0.0.15 |
Dynamic, highly customizable language agents framework |
2024-05-11 10:15:14 |
| greptimeai |
0.2.1 |
Observability tool for LLM application |
2024-05-07 10:41:04 |
| ditty |
0.5.0 |
None |
2024-05-02 15:42:47 |
| docgraph |
0.0.14.dev0 |
Document Graph for LLM retrieval augmented genration embedding search and Completion context |
2024-05-01 18:51:46 |
| aisploit |
0.0.25 |
Tiny package designed to support red teams and penetration testers in exploiting large language model AI solutions. |
2024-04-30 17:27:16 |