* change the package to workspace concept
* add provider name and change default model
* add the node_modules to git ignore
* change the npm runs to use workspace
* fix the start scripts to use the workspace
* update the uv.lock
* updated instructions
* update the docker build to use the npm workspace
* Update package-lock.json after merge to sync workspace dependencies
* fix merge conflict
The generated queryKeySerializer.gen.ts uses URLSearchParams.entries() which
requires DOM.Iterable in the TypeScript lib config for proper type definitions.
* Add the LLM_PROVIDER in example
* fix the assert in testing recall
* trial to fix failing client tests
NotImplementedError: Cannot copy out of meta tensor; no data! Please use torch.nn.Module.to_empty() instead of torch.nn.Module.to() when moving module from meta to a different device.
* lock the sentence transformer packages to align with the breaking changes around lazy tensor loading
* Add the LLM_PROVIDER in example
* fix the assert in testing recall
* trial to fix failing client tests
* pre-cache the model so CI doesn't need workarounds
* remove assert that is a race condition
The test was checking that the bank count increased, but with parallel tests (-n 8), other tests can delete their banks while this test is running, causing a race condition. The important assertion is assert test_bank_id in final_banks - which verifies the bank was actually created.
* add debug to figure out why docker build fails sometimes
* use the CPU only version of pytorch to avoid pulling cuda libraries
* add best match strategy to uv
* change the example openai model
Update docs link from vectorize-io.github.io/hindsight to
hindsight.vectorize.io.
🤖 Generated with [Claude Code](https://claude.com/claude-code)
Co-authored-by: Claude Opus 4.5 <noreply@anthropic.com>
Update url and baseUrl for hindsight.vectorize.io custom domain.
With custom domains, GitHub Pages serves from root path instead of
project subdirectory.
🤖 Generated with [Claude Code](https://claude.com/claude-code)
Co-authored-by: Claude Opus 4.5 <noreply@anthropic.com>
* Improve LongMemEval benchmark with structured prompts and better options
- Add --context-format option with 'json' (original) and 'structured' modes
- Structured format groups facts with source chunks for better LLM comprehension
- Add detailed instructions for date calculations, relative time handling, and abstention
- Add --source-results flag to read failed questions from a different file
- Allow --category to be combined with --max-instances for sampling
- Fix Gemini structured output by passing response_schema parameter
- Add retry logic for empty Gemini responses with block reason logging
- Add judge prompt comparison documentation
🤖 Generated with [Claude Code](https://claude.com/claude-code)
Co-Authored-By: Claude <noreply@anthropic.com>
* fix recall in benchmarks
* Improve LongMemEval prompt and Gemini error handling
- Add JSONDecodeError retry for Gemini truncated responses
- Increase max_tokens to 32768 for thinking models
- Add counting/disambiguation guidance to structured prompt
- Add "when in doubt, undercount" and overlap detection rules
🤖 Generated with [Claude Code](https://claude.com/claude-code)
Co-Authored-By: Claude <noreply@anthropic.com>
* Add connection error retry and preference question guidance
- Add APIConnectionError retry for OpenAI client (server disconnects)
- Add recommendation/preference question guidance to structured prompt
- Instruct model to build on user's existing tools/experiences
🤖 Generated with [Claude Code](https://claude.com/claude-code)
Co-Authored-By: Claude <noreply@anthropic.com>
* Make reasoning optional
* Seed for LLM through Groq
* fix entity and observations
* Increase graph retrieval neighbor limit for expanded entities
Doubled the neighbor limit multiplier from 10 to 20 in graph retrieval.
With expanded entity extraction (now including objects and concepts like
"kitchen"), facts share more common entities, causing the previous limit
to arbitrarily exclude relevant results. This fix ensures better recall
for questions about related items (e.g., kitchen items).
🤖 Generated with [Claude Code](https://claude.com/claude-code)
Co-Authored-By: Claude <noreply@anthropic.com>
* Expand entity extraction to include objects and concepts
Updated entity extraction prompt to include:
- Specific objects (coffee maker, toaster, car, laptop, kitchen)
- Abstract concepts/themes (friendship, career growth, loss, celebration)
- Places and organizations (IKEA, Goodwill, New York)
This enables better fact linking through shared entities. For example,
kitchen appliances now share a "kitchen" entity, allowing graph traversal
to find related facts like "replaced coffee maker" when querying about
"kitchen items".
Works in conjunction with the increased neighbor limit to improve recall.
🤖 Generated with [Claude Code](https://claude.com/claude-code)
Co-Authored-By: Claude <noreply@anthropic.com>
---------
Co-authored-by: Chris Bartholomew <chris.bartholomew@vectorize.io>
Co-authored-by: Claude <noreply@anthropic.com>
Co-authored-by: andrew <andrew.neeser@me.com>
