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2 dépôts

Awesome GitHub RepositoriesHierarchical Context Extensions

Combinations of vector search and databases used to expand the effective context window of a model.

Distinct from Vector Memory Stores: Distinct from Vector Memory Stores: specifically focuses on the hierarchical combination of different storage types to extend windows.

Explore 2 awesome GitHub repositories matching data & databases · Hierarchical Context Extensions. Refine with filters or upvote what's useful.

Awesome Hierarchical Context Extensions GitHub Repositories

Trouvez les meilleurs dépôts grâce à l'IA.Nous recherchons les dépôts les plus pertinents grâce à l'IA.
  • chopratejas/headroomAvatar de chopratejas

    chopratejas/headroom

    29,537Voir sur GitHub↗

    Headroom is an AI gateway proxy and token optimizer designed to reduce the cost and latency of large language model interactions. It functions as an intermediary that intercepts traffic between clients and providers to apply context compression, request routing, and format translation. The system differentiates itself through a Model Context Protocol server implementation that delivers compression and retrieval tools to compatible AI hosts. It employs a content-aware compression pipeline and tiered importance scoring to trim redundant data from logs and tool outputs while preserving essential

    Combines vector search and a lightweight database to extend the model's effective context window.

    Pythonagentaianthropic
    Voir sur GitHub↗29,537
  • nevamind-ai/memuAvatar de NevaMind-AI

    NevaMind-AI/memU

    9,470Voir sur GitHub↗

    memU is a long-term memory system for AI agents that provides a persistent knowledge base. It extracts facts and preferences from conversations into structured memories, organizing this information through a hierarchical knowledge base based on a file-system architecture of nested categories and linked resources. The system includes a multimodal data ingestion pipeline that converts audio, video, and images into standardized natural language for storage in large language model contexts. It also features a model provider abstraction layer, offering a unified interface to use interchangeable la

    Enables searching from high-level categories down to raw resources using semantic matches.

    Pythonagent-memoryagentic-workflowclaude
    Voir sur GitHub↗9,470
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  2. Data & Databases
  3. Vector Memory Stores
  4. Hierarchical Context Extensions

Explorer les sous-tags

  • Hierarchical Retrieval StrategiesSearch methods that traverse from high-level categories down to specific resources. **Distinct from Hierarchical Context Extensions:** Focuses on the search traversal strategy through a hierarchy, not just extending the context window.