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feat(evals): add ColGrep as a third arm in the retrieval benchmark - #3539
evals/retrieval.py --colgrep adds two conditions driven by LightOn's ColGrep, so the benchmark compares graph vs grep vs ColGrep on the same task (find the files that call each symbol) against the same oracle:
colgrep_name: colgrep search S, ColGrep's own ranked search (FTS5 trigram keywords fused with the LateOn-Code model by reciprocal rank fusion). This is the "FTS5 + RRF hybrid behind a grep-like tool" we wanted to validate.
colgrep_call: colgrep search -e '\bS\s*\(' S. The same call pattern grep_call uses narrows the candidates, and the model ranks them.
ColGrep runs one search per process, and codebase_rag has about 29,000 symbols, so this adds --sample N (with --seed). It scores every condition, graph and grep included, on the same seeded sample, so the rows stay comparable. Without --sample, results are the same as before.
The run builds the index once, runs every search with --force-cpu (the question is whether it competes on CPU), and logs the index time and the time per search next to the scores. --colgrep-k sets the per-search budget in files (default 15, ColGrep's own default).
ColGrep runs on its defaults: the arm points COLGREP_DATA_DIR at a fresh temporary directory, so the machine's saved ColGrep settings (model, hybrid balance, pooling, ignore rules) cannot change what is measured, and the user's own indexes are left alone.
The run stops rather than publish a misleading table: when a ColGrep search fails (ColGrep exits 0 on no match, so a failure is a real error), or when the sampled symbols have no calls to grade.
Results
ColGrep 1.8.5, default model lightonai/LateOn-Code-edge, CPU only (4 cores), k = 15, the same 500 symbols (seed 0) for every condition:
uv run python -m evals.retrieval --target codebase_rag --colgrep --sample 500
label
tp
fp
fn
precision
recall
f1
graph
382
21
10
0.9479
0.9745
0.9610
grep_name
392
1549
0
0.2020
1.0000
0.3360
grep_call
371
422
21
0.4678
0.9464
0.6262
colgrep_name
214
7286
178
0.0285
0.5459
0.0542
colgrep_call
276
357
116
0.4360
0.7041
0.5385
Cost: ColGrep's index of codebase_rag took 685 s to build. Each search took 1.00 s in name mode and 1.57 s in call mode. ripgrep ran both grep conditions in under a second.
The fused keyword plus semantic search (colgrep_name) is the weakest condition for "who calls S". It always returns its 15 files, even for symbols nothing calls, so only 2.9% of results are callers, and it still finds only 55% of them.
With the call pattern narrowing first (colgrep_call), it is about as precise as plain grep_call but has lower recall. Every caller it misses that grep_call finds is explained:
The k = 15 cut accounts for 81 of those misses: count has 59 caller files and _build has 22.
A silent 512 KB file-size cutoff in ColGrep (MAX_FILE_SIZE) skips parsers/call_processor.py (588 KB) and accounts for 15 more.
This is an exact, structural question, which favours the graph. Semantic search is built for vague, natural-language questions, so this doesn't measure where ColGrep is strongest. For locating callers, the graph stays far ahead, and the fused keyword plus semantic search does not beat plain grep.
All of this, plus a setup note for running ColGrep behind an HTTPS proxy, is in evals/README.md.
Command line details, all taken from the colgrep 1.8.5 source and confirmed against the real binary: the explicit search subcommand plus -- stop a symbol named init, status or update from being read as a subcommand. -s makes -e case-sensitive like ripgrep. Results are collapsed to one per file before the cut at -k, and -l lists those files. A search with no match exits 0.
Demo
No user-visible change to cgr itself: this adds an opt-in condition to a developer benchmark. The results above are the demo.
Type of Change
Bug fix
New feature
Performance improvement
Refactoring (no functional changes)
Documentation
CI/CD or tooling
Dependencies
Related Issues
Related to #424 (graph vs grep retrieval benchmark).
Test Plan
Unit tests pass (make test-parallel or uv run pytest -n auto -m "not integration"), in CI
New tests added
Integration tests pass (make test-integration, requires Docker), in CI
Manual testing (describe below)
codebase_rag/tests/test_retrieval_eval.py passes (15 tests). The new tests replace ColGrep at the subprocess boundary with a stand-in. They pin:
the exact command sent: subcommand, -k, --include, and -e and -s only in call mode;
that every call carries the throwaway settings directory, and that it is removed afterwards;
how absolute and relative paths map onto the graded files;
that a failed search stops the arm, and stops the whole run before any scores are written;
how an index failure is reported;
that seeded sampling is reproducible, and that a sample with nothing called stops the run;
an end-to-end main --colgrep --sample 3 run in which every row shares one oracle.
Manual testing: the full 500-symbol run above against the real ColGrep 1.8.5 binary (35 minutes end to end), plus a smoke test of every command shape on a small fixture.
A breaking change has ! in the title and its release notes in changes/breaking/<PR number>.md (not a breaking change)
All pre-commit checks pass (make pre-commit). Locally, ty check reports errors only in untouched files that need optional packages (clang, ast-grep, atheris) not installed here. CI's Type Check passes.
No hardcoded strings in non-config/non-constants files
No # type: ignore, cast(), Any, or object type hints
New comments and docstrings explain why, not what
Summary by CodeRabbit
New Features
Added optional ColGrep name-based and call-pattern retrieval modes to the retrieval benchmark, with up to 15 files returned per search by default.
Added seeded symbol sampling shared across graph, grep, and ColGrep conditions.
Benchmark results now include ColGrep scores and indexing and search timings.
Bug Fixes
ColGrep indexing or search failures now stop the benchmark with an error instead of counting failed searches as missed results.
Documentation
Added guidance on ColGrep setup, sampling, and benchmark behavior.
Reviewing files that changed from the base of the PR and between f7e4fdd and 5fcad0a.
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evals/README.md
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Walkthrough
The retrieval benchmark adds deterministic symbol sampling and optional ColGrep NAME and CALL conditions. It builds one index, filters search results to known Python files, and includes enabled conditions in benchmark scoring.
Changes: Retrieval benchmark
Layer / File(s)
Summary
Sampling and oracle setup evals/retrieval.py, evals/constants.py, evals/logs.py, codebase_rag/tests/test_retrieval_eval.py
The CLI accepts a sample size and seed. When the sample size is positive and smaller than the symbol set, the benchmark selects a seeded sample and limits oracle property names to that sample. It exits when the oracle has no call edges. Tests cover deterministic sampling and size boundaries.
When enabled, ColGrep initializes one index and runs NAME and CALL searches with configurable top-k. The benchmark filters results to known Python files and exits on indexing or search failures. Tests cover command arguments, failure handling, and path filtering.
CLI, scoring, and validation evals/retrieval.py, evals/README.md, codebase_rag/tests/test_retrieval_eval.py
The CLI adds ColGrep and sampling options. Enabled ColGrep conditions are included in scoring. The README documents the options and behavior. Tests cover score output, index reuse, and temporary directory cleanup.
sequenceDiagram
participant Benchmark as Retrieval benchmark
participant ColGrep as ColGrep executable
participant FileFilter as Known Python files
Benchmark->>ColGrep: Initialize index
ColGrep-->>Benchmark: Return initialization result
loop Each sampled symbol and search mode
Benchmark->>ColGrep: Search with mode and top-k
ColGrep-->>Benchmark: Return result paths
Benchmark->>FileFilter: Restrict paths to known Python files
FileFilter-->>Benchmark: Return matching paths
end
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Possibly related PRs
vitali87/code-graph-rag#3521: Changes to Python call processing can affect the CALLS edges used by the graph retrieval condition.
vitali87/code-graph-rag#3528: Changes to Python binding-target inference can affect the CALLS edges used by the graph retrieval condition.
Suggested reviewers:claude
Merge Risk: Minimal · up to 5fcad
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Actionable comments posted: 1
Fix comments: Fix CodeRabbit comments on this PR
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Inline comments:
Review comments at @evals/retrieval.py:
- Around line 266-272: Update colgrep_call_edges and the condition-level score
reporting in score_retrieval to count nonzero ColGrep search results and include
that failed-search count with each condition’s scores, without aborting or
treating the failures as successful searches. Extend the existing test to assert
the reported count as well as the edge set.
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codebase_rag/tests/test_retrieval_eval.py
evals/README.md
evals/constants.py
evals/logs.py
evals/retrieval.py
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CI infrastructure notes for this PR. None of these failures came from the diff, which touches only evals/, a test and a README.
Current head 5fcad0a: green. All 22 jobs in the CI run passed, including unit tests on Linux, macOS and Windows, the integration tests, Type Check and the Sonar Zero Issues Gate. On the first attempt, the All Checks Pass summary job sat queued for 2 h 8 min, never got a runner, and GitHub cancelled it. Re-run once (attempt 2), it passed.
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Summary
evals/retrieval.py --colgrepadds two conditions driven by LightOn's ColGrep, so the benchmark compares graph vs grep vs ColGrep on the same task (find the files that call each symbol) against the same oracle:colgrep_name:colgrep search S, ColGrep's own ranked search (FTS5 trigram keywords fused with the LateOn-Code model by reciprocal rank fusion). This is the "FTS5 + RRF hybrid behind a grep-like tool" we wanted to validate.colgrep_call:colgrep search -e '\bS\s*\(' S. The same call patterngrep_calluses narrows the candidates, and the model ranks them.codebase_raghas about 29,000 symbols, so this adds--sample N(with--seed). It scores every condition, graph and grep included, on the same seeded sample, so the rows stay comparable. Without--sample, results are the same as before.--force-cpu(the question is whether it competes on CPU), and logs the index time and the time per search next to the scores.--colgrep-ksets the per-search budget in files (default 15, ColGrep's own default).COLGREP_DATA_DIRat a fresh temporary directory, so the machine's saved ColGrep settings (model, hybrid balance, pooling, ignore rules) cannot change what is measured, and the user's own indexes are left alone.Results
ColGrep 1.8.5, default model
lightonai/LateOn-Code-edge, CPU only (4 cores), k = 15, the same 500 symbols (seed 0) for every condition:Cost: ColGrep's index of
codebase_ragtook 685 s to build. Each search took 1.00 s in name mode and 1.57 s in call mode. ripgrep ran both grep conditions in under a second.colgrep_name) is the weakest condition for "who callsS". It always returns its 15 files, even for symbols nothing calls, so only 2.9% of results are callers, and it still finds only 55% of them.colgrep_call), it is about as precise as plaingrep_callbut has lower recall. Every caller it misses thatgrep_callfinds is explained:counthas 59 caller files and_buildhas 22.MAX_FILE_SIZE) skipsparsers/call_processor.py(588 KB) and accounts for 15 more.All of this, plus a setup note for running ColGrep behind an HTTPS proxy, is in
evals/README.md.Command line details, all taken from the colgrep 1.8.5 source and confirmed against the real binary: the explicit
searchsubcommand plus--stop a symbol namedinit,statusorupdatefrom being read as a subcommand.-smakes-ecase-sensitive like ripgrep. Results are collapsed to one per file before the cut at-k, and-llists those files. A search with no match exits 0.Demo
No user-visible change to cgr itself: this adds an opt-in condition to a developer benchmark. The results above are the demo.
Type of Change
Related Issues
Related to #424 (graph vs grep retrieval benchmark).
Test Plan
make test-paralleloruv run pytest -n auto -m "not integration"), in CImake test-integration, requires Docker), in CIcodebase_rag/tests/test_retrieval_eval.pypasses (15 tests). The new tests replace ColGrep at the subprocess boundary with a stand-in. They pin:-k,--include, and-eand-sonly in call mode;main --colgrep --sample 3run in which every row shares one oracle.Manual testing: the full 500-symbol run above against the real ColGrep 1.8.5 binary (35 minutes end to end), plus a smoke test of every command shape on a small fixture.
Checklist
!in the title and its release notes inchanges/breaking/<PR number>.md(not a breaking change)make pre-commit). Locally,ty checkreports errors only in untouched files that need optional packages (clang, ast-grep, atheris) not installed here. CI's Type Check passes.# type: ignore,cast(),Any, orobjecttype hintsSummary by CodeRabbit