Pre-Release for AgenticNAV #7
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…querying functionality to constrain and guide agents
- Improved knowledge graph generation with pre-computed similarities for faster search (similarity threshold 0.8) - Neo4j database integration (community integration). Includes scripts to write pickled knowledge graph to database and manage vector embeddings - Added basic functionality for faster similarity search and neighborhood exploration - Added agent-friendly tooling
…installable python package
Knowledge Graph Tooling
…dio) + improve logging (#3) * Refactored to code and modularized the way we build agents for better re-usability. Made agent stateful (i.e., stores and manages messages internally) to help with on-the-fly message manipulation, if needed. * Finalized web-based UI draft. Need to do testing and ensure the agent is initialized every time the UI is launched. * Enabled asynchronous message generation for the web-based UI and the CLI tool. Added docker-based services to run agent in a reproducible way. * Fixed a bug in the knowledge graph generator and updated the database importer to add all paper meta data. * Removed old db importer code * Updated readme * Added logging to graph import script and updated default pre-generated graph * Added logging to graph import script and updated default pre-generated graph * Set default logging level to info (from debug)
* Refactored to code and modularized the way we build agents for better re-usability. Made agent stateful (i.e., stores and manages messages internally) to help with on-the-fly message manipulation, if needed. * Finalized web-based UI draft. Need to do testing and ensure the agent is initialized every time the UI is launched. * Enabled asynchronous message generation for the web-based UI and the CLI tool. Added docker-based services to run agent in a reproducible way. * Fixed a bug in the knowledge graph generator and updated the database importer to add all paper meta data. * Removed old db importer code * Updated readme * Added logging to graph import script and updated default pre-generated graph * Added logging to graph import script and updated default pre-generated graph * Set default logging level to info (from debug) * Added basic setup for unit tests to cover all agent functionality. * Updated handling of database URI env variable * Removed legacy code * Unit tests to cover major functionality of the agent (needs to be extended to cover all code) * Unit tests to cover major functionality of the agent (needs to be extended to cover all code) * Mocked all external tool calls (to database and inference services) * Updated handling of environment variables in tests * Updated tests for the knowledge graph tools * Updated tests for the knowledge graph tools * Disabled environment variable tests as patching seems to be buggy. * Updated github action to also cover dev branch
* Refactored to code and modularized the way we build agents for better re-usability. Made agent stateful (i.e., stores and manages messages internally) to help with on-the-fly message manipulation, if needed. * Finalized web-based UI draft. Need to do testing and ensure the agent is initialized every time the UI is launched. * Enabled asynchronous message generation for the web-based UI and the CLI tool. Added docker-based services to run agent in a reproducible way. * Fixed a bug in the knowledge graph generator and updated the database importer to add all paper meta data. * Removed old db importer code * Updated readme * Added logging to graph import script and updated default pre-generated graph * Added logging to graph import script and updated default pre-generated graph * Set default logging level to info (from debug) * Added basic setup for unit tests to cover all agent functionality. * Updated handling of database URI env variable * Removed legacy code * Unit tests to cover major functionality of the agent (needs to be extended to cover all code) * Unit tests to cover major functionality of the agent (needs to be extended to cover all code) * Mocked all external tool calls (to database and inference services) * Updated handling of environment variables in tests * Updated tests for the knowledge graph tools * Updated tests for the knowledge graph tools * Disabled environment variable tests as patching seems to be buggy. * Updated github action to also cover dev branch * Pointed the test badge to the right repo * Added first version of the session builder tool * Removed obsolete todos. * Updated knowledge graph processing * Added link to new default knowledge graph * Fixed bug where the embedding model was used instead of the agent model * Fixed OpenReview link retrieval and added embedding generator that can use HF spaces ZeroGPU. * Fixed OpenReview link retrieval and added embedding generator that can use HF spaces ZeroGPU. * Fixed metadata output for search tools. * Improved web ui rendering, embedding generation, and state handling in CLI. * Fixed bug in CLI that prevented outputs after tool calls. * Improved knowledge graph tool queries for better performance. * Improved knowledge graph tool queries for better performance. * Reduced python version to 3.10 and downgraded dependencies. * Renamed project to deployment name and implemented improved similarity search tool
* Refactored to code and modularized the way we build agents for better re-usability. Made agent stateful (i.e., stores and manages messages internally) to help with on-the-fly message manipulation, if needed. * Finalized web-based UI draft. Need to do testing and ensure the agent is initialized every time the UI is launched. * Enabled asynchronous message generation for the web-based UI and the CLI tool. Added docker-based services to run agent in a reproducible way. * Fixed a bug in the knowledge graph generator and updated the database importer to add all paper meta data. * Removed old db importer code * Updated readme * Added logging to graph import script and updated default pre-generated graph * Added logging to graph import script and updated default pre-generated graph * Set default logging level to info (from debug) * Added basic setup for unit tests to cover all agent functionality. * Updated handling of database URI env variable * Removed legacy code * Unit tests to cover major functionality of the agent (needs to be extended to cover all code) * Unit tests to cover major functionality of the agent (needs to be extended to cover all code) * Mocked all external tool calls (to database and inference services) * Updated handling of environment variables in tests * Updated tests for the knowledge graph tools * Updated tests for the knowledge graph tools * Disabled environment variable tests as patching seems to be buggy. * Updated github action to also cover dev branch * Pointed the test badge to the right repo * Added first version of the session builder tool * Removed obsolete todos. * Updated knowledge graph processing * Added link to new default knowledge graph * Fixed bug where the embedding model was used instead of the agent model * Fixed OpenReview link retrieval and added embedding generator that can use HF spaces ZeroGPU. * Fixed OpenReview link retrieval and added embedding generator that can use HF spaces ZeroGPU. * Fixed metadata output for search tools. * Improved web ui rendering, embedding generation, and state handling in CLI. * Fixed bug in CLI that prevented outputs after tool calls. * Improved knowledge graph tool queries for better performance. * Improved knowledge graph tool queries for better performance. * Reduced python version to 3.10 and downgraded dependencies. * Renamed project to deployment name and implemented improved similarity search tool * Cleaned code
…ui (CLI stale for now). Improved web UI and configuration management.
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