Feature/updated env example#15
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* feat: query agent is working well with the vector search (#1) Co-authored-by: Dev Singh <devsingh@Devs-MacBook-Air.local> * feat: graph search is working for basic graph search (#2) Co-authored-by: Dev Singh <devsingh@Devs-MacBook-Air.local> * feat: graph is being created as expected and it's visible on the frontend (#3) Co-authored-by: Dev Singh <devsingh@Devs-MacBook-Air.local> * feat: added filter search to the search agent (#4) Co-authored-by: Dev Singh <devsingh@Devs-MacBook-Air.local> * feat: added unit tests and a ci gitlab pipeline (#5) * feat: added unit tests and a ci gitlab pipeline * feat: updated the python version to 3.10 + in the unit tests * fix: hard-coded the db passwords for now to get the tests working * feat: added mock calls to the unit tests * feat: added relative_files=true in the pytest.init * feat: re-architected the unit tests to use a docker image to run the unit tests inside it * feat: removed the coverage comment action --------- Co-authored-by: Dev Singh <devsingh@Devs-MacBook-Air.local> * Feature/ragas framework (#6) * feat: added parallel processing to get the graph created quickly using asyncio and semaphore * feat: added ragas evaluation in the integration test. * feat: now using just a single csv and a json file to store the ragas evaluation results --------- Co-authored-by: Dev Singh <devsingh@Devs-MacBook-Air.local> * Feature/graph improvement (#7) * feat: graph enhancement is working as expected. * feat: graph enhancemend is working as expected * feat: V1 Search Agent is ready --------- Co-authored-by: Dev Singh <devsingh@Devs-MacBook-Air.local> * feat: improved the graph search and optimised search to get 95% rag performance on ragas evaluation (#9) Co-authored-by: Dev Singh <devsingh@Devs-MacBook-Air.local> * feat: added new feature for graph update via natural language (#10) Co-authored-by: Dev Singh <devsingh@Devs-MacBook-Air.local> * Feature/long term memory (#12) * Development (#11) * feat: query agent is working well with the vector search (#1) Co-authored-by: Dev Singh <devsingh@Devs-MacBook-Air.local> * feat: graph search is working for basic graph search (#2) Co-authored-by: Dev Singh <devsingh@Devs-MacBook-Air.local> * feat: graph is being created as expected and it's visible on the frontend (#3) Co-authored-by: Dev Singh <devsingh@Devs-MacBook-Air.local> * feat: added filter search to the search agent (#4) Co-authored-by: Dev Singh <devsingh@Devs-MacBook-Air.local> * feat: added unit tests and a ci gitlab pipeline (#5) * feat: added unit tests and a ci gitlab pipeline * feat: updated the python version to 3.10 + in the unit tests * fix: hard-coded the db passwords for now to get the tests working * feat: added mock calls to the unit tests * feat: added relative_files=true in the pytest.init * feat: re-architected the unit tests to use a docker image to run the unit tests inside it * feat: removed the coverage comment action --------- Co-authored-by: Dev Singh <devsingh@Devs-MacBook-Air.local> * Feature/ragas framework (#6) * feat: added parallel processing to get the graph created quickly using asyncio and semaphore * feat: added ragas evaluation in the integration test. * feat: now using just a single csv and a json file to store the ragas evaluation results --------- Co-authored-by: Dev Singh <devsingh@Devs-MacBook-Air.local> * Feature/graph improvement (#7) * feat: graph enhancement is working as expected. * feat: graph enhancemend is working as expected * feat: V1 Search Agent is ready --------- Co-authored-by: Dev Singh <devsingh@Devs-MacBook-Air.local> * feat: improved the graph search and optimised search to get 95% rag performance on ragas evaluation (#9) Co-authored-by: Dev Singh <devsingh@Devs-MacBook-Air.local> * feat: added new feature for graph update via natural language (#10) Co-authored-by: Dev Singh <devsingh@Devs-MacBook-Air.local> --------- Co-authored-by: Dev Singh <devsingh@Devs-MacBook-Air.local> * feat: memory is working fine * feat: fixed memory by creating the required memory tables * feat: updated the readme to include the submodule memory info --------- Co-authored-by: Dev Singh <devsingh@Devs-MacBook-Air.local> * feat: the user can now bring in their own openai api keys (#13) * feat: add new demo photos to the readme --------- Co-authored-by: Dev Singh <devsingh@Devs-MacBook-Air.local>
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* feat: query agent is working well with the vector search (#1) Co-authored-by: Dev Singh <devsingh@Devs-MacBook-Air.local> * feat: graph search is working for basic graph search (#2) Co-authored-by: Dev Singh <devsingh@Devs-MacBook-Air.local> * feat: graph is being created as expected and it's visible on the frontend (#3) Co-authored-by: Dev Singh <devsingh@Devs-MacBook-Air.local> * feat: added filter search to the search agent (#4) Co-authored-by: Dev Singh <devsingh@Devs-MacBook-Air.local> * feat: added unit tests and a ci gitlab pipeline (#5) * feat: added unit tests and a ci gitlab pipeline * feat: updated the python version to 3.10 + in the unit tests * fix: hard-coded the db passwords for now to get the tests working * feat: added mock calls to the unit tests * feat: added relative_files=true in the pytest.init * feat: re-architected the unit tests to use a docker image to run the unit tests inside it * feat: removed the coverage comment action --------- Co-authored-by: Dev Singh <devsingh@Devs-MacBook-Air.local> * Feature/ragas framework (#6) * feat: added parallel processing to get the graph created quickly using asyncio and semaphore * feat: added ragas evaluation in the integration test. * feat: now using just a single csv and a json file to store the ragas evaluation results --------- Co-authored-by: Dev Singh <devsingh@Devs-MacBook-Air.local> * Feature/graph improvement (#7) * feat: graph enhancement is working as expected. * feat: graph enhancemend is working as expected * feat: V1 Search Agent is ready --------- Co-authored-by: Dev Singh <devsingh@Devs-MacBook-Air.local> * feat: improved the graph search and optimised search to get 95% rag performance on ragas evaluation (#9) Co-authored-by: Dev Singh <devsingh@Devs-MacBook-Air.local> * feat: added new feature for graph update via natural language (#10) Co-authored-by: Dev Singh <devsingh@Devs-MacBook-Air.local> * Feature/long term memory (#12) * Development (#11) * feat: query agent is working well with the vector search (#1) Co-authored-by: Dev Singh <devsingh@Devs-MacBook-Air.local> * feat: graph search is working for basic graph search (#2) Co-authored-by: Dev Singh <devsingh@Devs-MacBook-Air.local> * feat: graph is being created as expected and it's visible on the frontend (#3) Co-authored-by: Dev Singh <devsingh@Devs-MacBook-Air.local> * feat: added filter search to the search agent (#4) Co-authored-by: Dev Singh <devsingh@Devs-MacBook-Air.local> * feat: added unit tests and a ci gitlab pipeline (#5) * feat: added unit tests and a ci gitlab pipeline * feat: updated the python version to 3.10 + in the unit tests * fix: hard-coded the db passwords for now to get the tests working * feat: added mock calls to the unit tests * feat: added relative_files=true in the pytest.init * feat: re-architected the unit tests to use a docker image to run the unit tests inside it * feat: removed the coverage comment action --------- Co-authored-by: Dev Singh <devsingh@Devs-MacBook-Air.local> * Feature/ragas framework (#6) * feat: added parallel processing to get the graph created quickly using asyncio and semaphore * feat: added ragas evaluation in the integration test. * feat: now using just a single csv and a json file to store the ragas evaluation results --------- Co-authored-by: Dev Singh <devsingh@Devs-MacBook-Air.local> * Feature/graph improvement (#7) * feat: graph enhancement is working as expected. * feat: graph enhancemend is working as expected * feat: V1 Search Agent is ready --------- Co-authored-by: Dev Singh <devsingh@Devs-MacBook-Air.local> * feat: improved the graph search and optimised search to get 95% rag performance on ragas evaluation (#9) Co-authored-by: Dev Singh <devsingh@Devs-MacBook-Air.local> * feat: added new feature for graph update via natural language (#10) Co-authored-by: Dev Singh <devsingh@Devs-MacBook-Air.local> --------- Co-authored-by: Dev Singh <devsingh@Devs-MacBook-Air.local> * feat: memory is working fine * feat: fixed memory by creating the required memory tables * feat: updated the readme to include the submodule memory info --------- Co-authored-by: Dev Singh <devsingh@Devs-MacBook-Air.local> * feat: the user can now bring in their own openai api keys (#13) * feat: add new demo photos to the readme * Feature/updated env example (#15) * Development (#14) * feat: query agent is working well with the vector search (#1) Co-authored-by: Dev Singh <devsingh@Devs-MacBook-Air.local> * feat: graph search is working for basic graph search (#2) Co-authored-by: Dev Singh <devsingh@Devs-MacBook-Air.local> * feat: graph is being created as expected and it's visible on the frontend (#3) Co-authored-by: Dev Singh <devsingh@Devs-MacBook-Air.local> * feat: added filter search to the search agent (#4) Co-authored-by: Dev Singh <devsingh@Devs-MacBook-Air.local> * feat: added unit tests and a ci gitlab pipeline (#5) * feat: added unit tests and a ci gitlab pipeline * feat: updated the python version to 3.10 + in the unit tests * fix: hard-coded the db passwords for now to get the tests working * feat: added mock calls to the unit tests * feat: added relative_files=true in the pytest.init * feat: re-architected the unit tests to use a docker image to run the unit tests inside it * feat: removed the coverage comment action --------- Co-authored-by: Dev Singh <devsingh@Devs-MacBook-Air.local> * Feature/ragas framework (#6) * feat: added parallel processing to get the graph created quickly using asyncio and semaphore * feat: added ragas evaluation in the integration test. * feat: now using just a single csv and a json file to store the ragas evaluation results --------- Co-authored-by: Dev Singh <devsingh@Devs-MacBook-Air.local> * Feature/graph improvement (#7) * feat: graph enhancement is working as expected. * feat: graph enhancemend is working as expected * feat: V1 Search Agent is ready --------- Co-authored-by: Dev Singh <devsingh@Devs-MacBook-Air.local> * feat: improved the graph search and optimised search to get 95% rag performance on ragas evaluation (#9) Co-authored-by: Dev Singh <devsingh@Devs-MacBook-Air.local> * feat: added new feature for graph update via natural language (#10) Co-authored-by: Dev Singh <devsingh@Devs-MacBook-Air.local> * Feature/long term memory (#12) * Development (#11) * feat: query agent is working well with the vector search (#1) Co-authored-by: Dev Singh <devsingh@Devs-MacBook-Air.local> * feat: graph search is working for basic graph search (#2) Co-authored-by: Dev Singh <devsingh@Devs-MacBook-Air.local> * feat: graph is being created as expected and it's visible on the frontend (#3) Co-authored-by: Dev Singh <devsingh@Devs-MacBook-Air.local> * feat: added filter search to the search agent (#4) Co-authored-by: Dev Singh <devsingh@Devs-MacBook-Air.local> * feat: added unit tests and a ci gitlab pipeline (#5) * feat: added unit tests and a ci gitlab pipeline * feat: updated the python version to 3.10 + in the unit tests * fix: hard-coded the db passwords for now to get the tests working * feat: added mock calls to the unit tests * feat: added relative_files=true in the pytest.init * feat: re-architected the unit tests to use a docker image to run the unit tests inside it * feat: removed the coverage comment action --------- Co-authored-by: Dev Singh <devsingh@Devs-MacBook-Air.local> * Feature/ragas framework (#6) * feat: added parallel processing to get the graph created quickly using asyncio and semaphore * feat: added ragas evaluation in the integration test. * feat: now using just a single csv and a json file to store the ragas evaluation results --------- Co-authored-by: Dev Singh <devsingh@Devs-MacBook-Air.local> * Feature/graph improvement (#7) * feat: graph enhancement is working as expected. * feat: graph enhancemend is working as expected * feat: V1 Search Agent is ready --------- Co-authored-by: Dev Singh <devsingh@Devs-MacBook-Air.local> * feat: improved the graph search and optimised search to get 95% rag performance on ragas evaluation (#9) Co-authored-by: Dev Singh <devsingh@Devs-MacBook-Air.local> * feat: added new feature for graph update via natural language (#10) Co-authored-by: Dev Singh <devsingh@Devs-MacBook-Air.local> --------- Co-authored-by: Dev Singh <devsingh@Devs-MacBook-Air.local> * feat: memory is working fine * feat: fixed memory by creating the required memory tables * feat: updated the readme to include the submodule memory info --------- Co-authored-by: Dev Singh <devsingh@Devs-MacBook-Air.local> * feat: the user can now bring in their own openai api keys (#13) * feat: add new demo photos to the readme --------- Co-authored-by: Dev Singh <devsingh@Devs-MacBook-Air.local> * Add memory submodule from https://github.com/dev-pratap-singh/memory * feat: updated the env-example file, now ready to use --------- Co-authored-by: Dev Singh <devsingh@Devs-MacBook-Air.local> --------- Co-authored-by: Dev Singh <devsingh@Devs-MacBook-Air.local>
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