Top AI Repos — open-source AI, indexed and scored
Top AI Repos tracks AI repositories on GitHub and answers two different questions about each one: is it moving right now, and would you bet a product on it.
Top AI Repos tracks AI repositories on GitHub and answers two different questions about each one: is it moving right now, and would you bet a product on it.
Building blocks for rapid development of GenAI applications
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| 2026-07-24 | 1653 |
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| 2026-08-10 | 1667 |
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| 2026-09-20 | 1667 |
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<div align="center"> <h1>🐰 Ragbits</h1> *Building blocks for rapid development of GenAI applications* [Homepage](https://deepsense.ai/rd-hub/ragbits/) | [Documentation](https://ragbits.deepsense.ai) | [Contact](https://deepsense.ai/contact/) <a href="https://trendshift.io/repositories/13966" target="_blank"><img src="https://trendshift.io/api/badge/repositories/13966" alt="deepsense-ai%2Fragbits | Trendshift" style="width: 250px; height: 55px;" width="250" height="55"/></a> [](https://pypi.org/project/ragbits) [](https://pypi.org/project/ragbits) [](https://pypi.org/project/ragbits) </div> --- ## Features ### 🔨 Build Reliable & Scalable GenAI Apps - **Swap LLMs anytime** – Switch between [100+ LLMs via LiteLLM](https://ragbits.deepsense.ai/stable/how-to/llms/use_llms/) or run [local models](https://ragbits.deepsense.ai/stable/how-to/llms/use_local_llms/). - **Type-safe LLM calls** – Use Python generics to [enforce strict type safety](https://ragbits.deepsense.ai/stable/how-to/prompts/use_prompting/#how-to-configure-prompts-output-data-type) in model interactions. - **Bring your own vector store** – Connect to [Qdrant](https://ragbits.deepsense.ai/stable/api_reference/core/vector-stores/#ragbits.core.vector_stores.qdrant.QdrantVectorStore), [PgVector](https://ragbits.deepsense.ai/stable/api_reference/core/vector-stores/#ragbits.core.vector_stores.pgvector.PgVectorStore), and more with built-in support. - **Developer tools included** – [Manage vector stores](https://ragbits.deepsense.ai/stable/cli/main/#ragbits-vector-store), query pipelines, and [test prompts from your terminal](https://ragbits.deepsense.ai/stable/quickstart/quickstart1_prompts/#testing-the-prompt-from-the-cli). - **Modular installation** – Install only what you need, reducing dependencies and improving performance. ### 📚 Fast & Flexible RAG Processing - **Ingest 20+ formats** – Process PDFs, HTML, spreadsheets, presentations, and more. Process data using [Docling](https://github.com/docling-project/docling), [Unstructured](https://github.com/Unstructured-IO/unstructured) or create a custom parser. - **Handle complex data** – Extract tables, images, and structured content with built-in VLMs support. - **Connect to any data source** – Use prebuilt connectors for S3, GCS, Azure, or implement your own. - **Scale ingestion** – Process large datasets quickly with [Ray-based parallel processing](https://ragbits.deepsense.ai/stable/how-to/document_search/distributed_ingestion/#how-to-ingest-documents-in-a-distributed-fashion). ### 🤖 Build Multi-Agent Workflows with Ease - **Multi-agent coordination** – Create teams of specialized agents with role-based collaboration using [A2A protocol](https://ragbits.deepsense.ai/stable/tutorials/agents) for interoperability. - **Real-time data integration** – Leverage [Model Context Protocol (MCP)](https://ragbits.deepsense.ai/stable/how-to/agents/provide_mcp_tools) for live web access, database queries, and API integrations. - **Conversation state management** – Maintain context across interactions with [automatic history tracking](https://ragbits.deepsense.ai/stable/how-to/agents/define_and_use_agents/#conversation-history). ### 🚀 Deploy & Monitor with Confidence - **Real-time observability** – Track performance with [OpenTelemetry](https://ragbits.deepsense.ai/stable/how-to/project/use_tracing/#opentelemetry-trace-handler) and [CLI insights](https://ragbits.deepsense.ai/stable/how-to/project/use_tracing/#cli-trace-handler). - **Built-in testing** – Validate prompts [with promptfoo](https://ragbits.deepsense.ai/stable/how-to/prompts/promptfoo/) before deployment. - **Auto-optimization** – Continuously evaluate and refine model performance. - **Chat UI** – Deploy [chatbot interface](https://ragbits.deepsense.ai/stable/how-to/cha
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Would you bet a product on this? Bounded 0–100 and slow moving.
matched fp:61b0cd93be7a8f9e, topic:agents, readme:multi-agent, readme:multi agent
matched fp:61b0cd93be7a8f9e, topic:evaluation
matched fp:61b0cd93be7a8f9e, topic:rag
matched fp:61b0cd93be7a8f9e, topic:prompts