docs: Added descriptions

This commit is contained in:
Anush
2024-05-17 15:37:39 +05:30
committed by GitHub
parent 83c0a0b614
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| Frameworks | | Frameworks | Description |
|---| | ------------------------------------- | ---------------------------------------------------------------------------------------------------- |
| [Airbyte](./airbyte/) | | [Airbyte](./airbyte/) | Data integration platform that specializes in ELT pipelines, |
| [Airflow](./airflow/) | | [Airflow](./airflow/) | Platform designed for developing, scheduling, and monitoring batch-oriented workflows. |
| [AutoGen](./autogen/) | | [AutoGen](./autogen/) | Framework from Microsoft building LLM applications using multiple conversational agents |
| [Canopy](./canopy/) | | [Canopy](./canopy/) | Framework from Pinecone for building RAG applications using LLMs and knowledge bases. |
| [Cheshire Cat](./cheshire-cat/) | | [Cheshire Cat](./cheshire-cat/) | Framework to create personalized AI assistants using custom data. |
| [DLT](./dlt/) | | [DLT](./dlt/) | Python library to simplify data loading processes between several sources and destinations. |
| [DocArray](./docarray/) | | [DocArray](./docarray/) | Python library for managing data in multi-modal AI applications. |
| [DocsGPT](./docsgpt/) | | [DocsGPT](./docsgpt/) | Tool for ingesting documentation sources and enabling conversations and queries. |
| [DSPy](./dspy/) | | [DSPy](./dspy/) | Framework for algorithmically optimizing LM prompts and weights. |
| [Fifty-One](./fifty-one/) | | [Fifty-One](./fifty-one/) | Toolkit for building high-quality datasets and computer vision models. |
| [Fondant](./fondant/) | | [Fondant](./fondant/) | Framework for developing datasets, sharing reusable operations and data processing trees |
| [Haystack](./haystack/) | | [Haystack](./haystack/) | LLM orchestration framework to build customizable, production-ready LLM applications. |
| [Langchain](./langchain/) | | [Langchain](./langchain/) | Python framework for building context-aware, reasoning applications using LLMs. |
| [Langchain-Go](./langchain-go/) | | [Langchain-Go](./langchain-go/) | Go framework for building context-aware, reasoning applications using LLMs |
| [Langchain4j](./langchain4j/) | | [Langchain4j](./langchain4j/) | Java framework for building context-aware, reasoning applications using LLMs |
| [LlamaIndex](./llama-index/) | | [LlamaIndex](./llama-index/) | A data framework for building LLM applications with modular integrations. |
| [Make](./make/) | | [Make](./make/) | Cloud platform to build low-code workflows by integrating various software applications. |
| [MindsDB](./mindsdb/) | | [MindsDB](./mindsdb/) | Platform to deploy, serve, and fine-tune models with numerous data source integrations. |
| [N8N](./n8n/) | | [N8N](./n8n/) | Platform for node-based, low-code workflow automation. |
| [OpenLLMetry](./openllmetry/) | | [OpenLLMetry](./openllmetry/) | Set of OpenTelemetry extensions to add Observability for your LLM application. |
| [Pandas-AI](./pandas-ai/) | | [Pandas-AI](./pandas-ai/) | Python library to query/visualize your data (CSV, XLSX, PostgreSQL, etc.) in natural language |
| [PrivateGPT](./privategpt/) | | [PrivateGPT](./privategpt/) | Tool to ask questions about your documents using local LLMs emphasising privacy. |
| [Semantic Router](./semantic-router/) | | [Semantic Router](./semantic-router/) | Python library to build a decision-making layer for AI applications using vector search. |
| [Spark](./spark/) | | [Spark](./spark/) | A unified analytics engine for large-scale data processing. |
| [Spring AI](./spring-ai/) | | [Spring AI](./spring-ai/) | Java AI framework for building with Spring design principles such as portability and modular design. |
| [Testcontainers](./testcontainers/) | | [Testcontainers](./testcontainers/) | Set of frameworks for running containerized dependencies in tests. |
| [txtai](./txtai/) | | [txtai](./txtai/) | Python library for semantic search, LLM orchestration and language model workflows. |
| [Unstructured](./unstructured/) | | [Unstructured](./unstructured/) | Python library with components for ingesting and pre-processing data from numerous sources. |
| [Vanna AI](./vanna-ai/) | | [Vanna AI](./vanna-ai/) | Python RAG framework for SQL generation and querying. |