Context Lens
Transforms any content into a searchable knowledge base for AI assistants, enabling semantic understanding and natural language querying of diverse data sources.
About
Context Lens empowers AI assistants with advanced semantic search capabilities, converting various content—from codebases and documentation to contracts and text files—into an intelligent, queryable knowledge base. Unlike traditional keyword matching, it comprehends meaning, allowing AI to answer complex questions by finding conceptually relevant information even without exact term matches. Built on LanceDB, a modern, serverless vector database, it offers a completely local, private, and zero-infrastructure solution for efficient, meaning-based information retrieval, significantly enhancing an AI's ability to interact with and utilize your data.
Key Features
- Semantic Search: Understands meaning, not just keywords, for concept-based retrieval.
- Zero Setup: No installation, configuration, or external API keys required.
- 4 GitHub stars
- Serverless Storage: Built-in LanceDB provides local, file-based vector storage.
- 100% Local & Private: All data processing and storage occur on your machine.
- Smart Parsing: Language-aware chunking intelligently processes diverse file types for better search results.
Use Cases
- Index local codebases and documentation to enable AI assistants to understand and answer questions about your proprietary projects.
- Integrate public GitHub repositories to quickly grasp the architecture, design, and functionality of open-source projects.
- Create searchable knowledge bases from contracts, policies, research papers, or legal documents for rapid information retrieval and analysis.
